Over the past several decades,the integration of IONs into EP emerged as an effective method for enhancing its mechanical properties.Nevertheless,challenges remain,especially with u-IONs,where the interfacial strength...Over the past several decades,the integration of IONs into EP emerged as an effective method for enhancing its mechanical properties.Nevertheless,challenges remain,especially with u-IONs,where the interfacial strength with EP is suboptimal,resulting in aggregation within the EP matrix and a subsequent deterioration in the mechanical performance of u-ION/EP nanocomposites.In this comprehensive review,we explored advanced chemical modification techniques tailored for IONs incorporated into EP,providing a detailed examination of the mechanical characteristics of surface cm-ION/EP nanocomposites.This review investigates various chemical modification methods and their distinct impacts on the mechanical attributes of the resulting EP nanocomposites.Special emphasis is given to addressing the persistent challenges of inadequate interfacial strength and aggregation.Furthermore,this article examines prospective surface modification approaches for inorganic oxide nanoparticles,offering a visionary outlook on methods to improve the mechanical performance of EP in future.展开更多
Laser debonding technology has been widely used in advanced chip packaging,such as fan-out integration,2.5D/3D ICs,and MEMS devices.Typically,laser debonding of bonded pairs(R/R separation)is typically achieved by com...Laser debonding technology has been widely used in advanced chip packaging,such as fan-out integration,2.5D/3D ICs,and MEMS devices.Typically,laser debonding of bonded pairs(R/R separation)is typically achieved by completely removing the material from the ablation region within the release material layer at high energy densities.However,this R/R separation method often results in a significant amount of release material and carbonized debris remaining on the surface of the device wafer,severely reducing product yields and cleaning efficiency for ultra-thin device wafers.Here,we proposed an interfacial separation strategy based on laser-induced hot stamping effect and thermoelastic stress wave,which enables stress-free separation of wafer bonding pairs at the interface of the release layer and the adhesive layer(R/A separation).By comprehensively analyzing the micro-morphology and material composition of the release material,we elucidated the laser debonding behavior of bonded pairs under different separation modes.Additionally,we calculated the ablation threshold of the release material in the case of wafer bonding and established the processing window for different separation methods.This work offers a fresh perspective on the development and application of laser debonding technology.The proposed R/A interface separation method is versatile,controllable,and highly reliable,and does not leave release materials and carbonized debris on device wafers,demonstrating strong industrial adaptability,which greatly facilitates the application and development of advanced packaging for ultra-thin chips.展开更多
Neural machine interface technology is a pioneering approach that aims to address the complex challenges of neurological dysfunctions and disabilities resulting from conditions such as congenital disorders,traumatic i...Neural machine interface technology is a pioneering approach that aims to address the complex challenges of neurological dysfunctions and disabilities resulting from conditions such as congenital disorders,traumatic injuries,and neurological diseases.Neural machine interface technology establishes direct connections with the brain or peripheral nervous system to restore impaired motor,sensory,and cognitive functions,significantly improving patients'quality of life.This review analyzes the chronological development and integration of various neural machine interface technologies,including regenerative peripheral nerve interfaces,targeted muscle and sensory reinnervation,agonist–antagonist myoneural interfaces,and brain–machine interfaces.Recent advancements in flexible electronics and bioengineering have led to the development of more biocompatible and highresolution electrodes,which enhance the performance and longevity of neural machine interface technology.However,significant challenges remain,such as signal interference,fibrous tissue encapsulation,and the need for precise anatomical localization and reconstruction.The integration of advanced signal processing algorithms,particularly those utilizing artificial intelligence and machine learning,has the potential to improve the accuracy and reliability of neural signal interpretation,which will make neural machine interface technologies more intuitive and effective.These technologies have broad,impactful clinical applications,ranging from motor restoration and sensory feedback in prosthetics to neurological disorder treatment and neurorehabilitation.This review suggests that multidisciplinary collaboration will play a critical role in advancing neural machine interface technologies by combining insights from biomedical engineering,clinical surgery,and neuroengineering to develop more sophisticated and reliable interfaces.By addressing existing limitations and exploring new technological frontiers,neural machine interface technologies have the potential to revolutionize neuroprosthetics and neurorehabilitation,promising enhanced mobility,independence,and quality of life for individuals with neurological impairments.By leveraging detailed anatomical knowledge and integrating cutting-edge neuroengineering principles,researchers and clinicians can push the boundaries of what is possible and create increasingly sophisticated and long-lasting prosthetic devices that provide sustained benefits for users.展开更多
Classical computation of electronic properties in large-scale materials remains challenging.Quantum computation has the potential to offer advantages in memory footprint and computational scaling.However,general and v...Classical computation of electronic properties in large-scale materials remains challenging.Quantum computation has the potential to offer advantages in memory footprint and computational scaling.However,general and viable quantum algorithms for simulating large-scale materials are still limited.We propose and implement random-state quantum algorithms to calculate electronic-structure properties of real materials.Using a random state circuit on a small number of qubits,we employ real-time evolution with first-order Trotter decomposition and Hadamard test to obtain electronic density of states,and we develop a modified quantum phase estimation algorithm to calculate real-space local density of states via direct quantum measurements.Furthermore,we validate these algorithms by numerically computing the density of states and spatial distributions of electronic states in graphene,twisted bilayer graphene quasicrystals,and fractal lattices,covering system sizes from hundreds to thousands of atoms.Our results manifest that the random-state quantum algorithms provide a general and qubit-efficient route to scalable simulations of electronic properties in large-scale periodic and aperiodic materials.展开更多
The high-temperature interaction of nanostructured Lu_(2)Si_(2)O_(7) environmental barrier coatings(EBCs)with calcium-magnesium-aluminosilicate(CMAS)was investigated at 1400℃ for 1,10,25,and 50 h to evaluate the coat...The high-temperature interaction of nanostructured Lu_(2)Si_(2)O_(7) environmental barrier coatings(EBCs)with calcium-magnesium-aluminosilicate(CMAS)was investigated at 1400℃ for 1,10,25,and 50 h to evaluate the coating’s resistance to CMAS corrosion.The results indicate a phase transformation over time,transitioning from Ca_(2)Lu_(8)(SiO_(4))6O_(2) apatite and Lu_(2)Si_(2)O_(7) to solely Lu_(2)Si_(2)O_(7).The interaction of the Lu_(2)Si_(2)O_(7) coating with the CMAS melts was divided into three stages based on the corrosion reaction behavior.The delamination cracks were distributed throughout the interface between the Si bond layer and Lu_(2)Si_(2)O_(7) layer after corroded at 1400℃ for 50 h,signifying coating failure.In addition,the influence of monosilicates,disilicates,and corrosion duration on the recession layer thickness was analyzed by comparing previous reports on RE_(2)SiO_(5)/RE_(2)Si_(2)O_(7) coatings(RE=Gd,Yb,Lu,Er).Furthermore,the variation in the thermally grown oxide layer thickness in CMAS-corroded Lu_(2)Si_(2)O_(7) coatings was systematically investigated.展开更多
We are sorry for the mistakes of Affiliation,"a State Key Laboratory of Advanced Fiber Materials,Center for Advanced Low-Dimension Materials,Donghua University,Shanghai 201620,China"should be replaced by&quo...We are sorry for the mistakes of Affiliation,"a State Key Laboratory of Advanced Fiber Materials,Center for Advanced Low-Dimension Materials,Donghua University,Shanghai 201620,China"should be replaced by"a State Key Laboratory of Advanced Fiber Materials,Center for Advanced Low-Dimension Materials,College of Materials Science and Engineering,Donghua University,Shanghai 201620,China".We apologized for the inconvenience caused by this error.展开更多
Traditional digitizers for signal readout of PET detectors are based on commercial analog-to-digital converters(ADC).However,the cost and power consumption of an entire electronic readout system based on digitizers fo...Traditional digitizers for signal readout of PET detectors are based on commercial analog-to-digital converters(ADC).However,the cost and power consumption of an entire electronic readout system based on digitizers for a PET scanner are high.To address this problem,a soft-core ADC based on a field-programmable gate array(FPGA)was proposed.An FPGA-based ADC(FPGA-ADC)combines low loss and high performance.To achieve good performance,the FPGA-ADC requires three calibrations:time-to-digital converter(TDC)length calibration,TDC alignment calibration,and TDC-to-ADC calibration.A prototype front-end electronics based on FPGA-ADC was built to evaluate the performance of time-of-flight positron emission tomography(TOF PET)detectors.Each PET detector consists of a LYSO crystal single-ended coupled to a silicon photomultiplier(SiPM).The experimental results show that the full-width at half-maximum(FWHM)energy resolution for 511 keV gamma photons after saturation correction of the SiPM was 12.3%.The FWHM coincidence timing resolution(CTR)of the TOF PET detector with the readout of the front-end electronic prototype is 385.2 ps.FPGA-ADCbased front-end electronics are very promising for multichannel,low-cost,highly integrated,and power-efficient readout electronic systems for radiation detector applications.展开更多
In electrochemical energy storage systems,the sodium-ion battery is typically integrated in the form of a“cell-module-cluster”,but its cross-scale thermal runaway triggering risk and the propagation mechanism remain...In electrochemical energy storage systems,the sodium-ion battery is typically integrated in the form of a“cell-module-cluster”,but its cross-scale thermal runaway triggering risk and the propagation mechanism remain unclear.This study reveals the cross-scale thermal runaway triggering and propagation behavior of sodium-ion batteries of“cell-module-cluster”under overcharge conditions,and investigates the effects of key factors,including module spacing,triggering cell location,and heat dissipation condition,on the thermal runaway propagation behavior.Results demonstrate that the thermal runaway propagation in a module containing the overcharged cell follows a sequential triggering mode,while thermal runaway in the downstream module exhibits a simultaneous triggering mode with greater severity.Furthermore,increasing the module spacing or enhancing the heat dissipation capacity can effectively reduce the heat accumulation and prevent the trigger of thermal runaway.On the above basis,the multi-dimensional evaluation strategy is proposed to quantitatively assess the hazard of sodium-ion battery cluster thermal runaway.The findings serve as a foundation for the safe design of sodium-ion batteries in energy storage systems.展开更多
This study aims to investigate the responses of a perovskite-based direct-conversion dual-layer flat-panel detector(DL-FPD)numerically.To this end,the X-ray sensitivity,spatial resolution quantified by the modulation ...This study aims to investigate the responses of a perovskite-based direct-conversion dual-layer flat-panel detector(DL-FPD)numerically.To this end,the X-ray sensitivity,spatial resolution quantified by the modulation transfer function(MTF),and detective quantum efficiency(DQE)of the DL-FPD are evaluated numerically using a linear cascade model.In addition,both the single-crystal(SC)and polycrystalline(PC)structures of MAPbI_(3)are investigated,along with various other key parameters such as the material thickness,electric field strength,X-ray beam spectrum,and electronic readout noise.The results demonstrate that SC perovskite consistently exhibits better performance than PC perovskite owing to fewer material defects.Increasing the layer thickness may decrease the MTF,but can also enhance the sensitivity and DQE.Moreover,appropriately increasing the external electric field within the material can improve the sensitivity,MTF,and DQE.Finally,reducing the electronic readout noise can significantly enhance the DQE for low-dose imaging.This study demonstrates the potential of high-quality dual-energy X-ray imaging using direct-conversion perovskite DL-FPDs.展开更多
Neurodegenerative diseases,which are characterized by progressive neuronal loss and the lack of disease-modifying therapies,are becoming a major global health challenge.The existing neuromodulation techniques,such as ...Neurodegenerative diseases,which are characterized by progressive neuronal loss and the lack of disease-modifying therapies,are becoming a major global health challenge.The existing neuromodulation techniques,such as deep brain stimulation and transcranial magnetic stimulation,show limitations such as invasiveness,restricted cortical targeting,and irreversible tissue effects.In this context,low-intensity transcranial ultrasound has emerged as a promising noninvasive alternative that can penetrate deep into the brain and modulate neuroplasticity.This review comprehensively assesses the therapeutic mechanisms,efficacy,and translational potential of low-intensity transcranial ultrasound in treating neurodegenerative diseases,with emphasis on its role in promoting neuronal regeneration,modulating neuroinflammation,and enhancing functional recovery.We summarize the findings of previous studies and systematically illustrate the potential of low-intensity transcranial ultrasound in regulating cell death mechanisms,enhancing neural repair and regeneration,and alleviating symptoms associated with neurodegenerative diseases.Preclinical findings indicate that low-intensity transcranial ultrasound can enhance the release of neurotrophic factors(e.g.,brain-derived neurotrophic factor),promote autophagy to clear protein aggregates,modulate microglial activation,and temporarily open the blood-brain barrier to facilitate targeted drug delivery.Existing clinical trial data show that low-intensity transcranial ultrasound can reduce amyloid-βplaques,improve motor and cognitive deficits,and promote remyelination in various disease models.Early clinical trials suggest that low-intensity transcranial ultrasound may enhance cognitive scores in Alzheimer’s disease and alleviate motor symptoms in Parkinson’s disease,all while demonstrating a favorable safety profile.Past studies support the notion that by integrating safety,precision,and reversibility,low-intensity transcranial ultrasound can transform the treatment landscape for neurodegenerative disease.However,more advancements are necessary for future clinical application of low-intensity transcranial ultrasound,including optimizing parameters such as frequency,intensity,and duty cycle;considering individual anatomical differences;and confirming long-term efficacy.We believe establishing standardized protocols,conducting larger trials,and investigating the underlying mechanisms to clarify dose-response relationships and refine personalized application strategies are essential in this regard.Future research should focus on translating preclinical findings into clinical practice,addressing technical challenges,and exploring combination therapies with pharmacological or gene interventions.展开更多
The rapid accumulation of spent LiFePO_(4)(LFP)cathodes from retired lithium-ion batteries necessitates the development of effective and environmental-friendly recycling strategies.In this context,direct regeneration ...The rapid accumulation of spent LiFePO_(4)(LFP)cathodes from retired lithium-ion batteries necessitates the development of effective and environmental-friendly recycling strategies.In this context,direct regeneration has emerged as a promising approach for reclaiming LFP cathode materials,offering a streamlined pathway to restore their electrochemical functionality.We report an integrated regeneration protocol that simultaneously repairs the degraded crystal structure and reconstructs the damaged carbon coating in spent LFP.The regenerated cathode material had superfast lithium-ion diffusion kinetics and a stable cathode-electrolyte interface,giving a remarkable rate capability with specific capacities of 122 m Ah g^(-1)at 5C and 106 m Ah g^(-1)at 10C(1C=170 m A g^(-1)).It also maintained capacities of 110.7 m Ah g^(-1)(5C)and 84.1 m Ah g^(-1)(10C)after 400 cycles.It could be used in harsh environments and could be stably cycled at subzero temperatures(-10 and-20°C)and in solid-state electrolyte batteries.Life cycle assessment combined with economic evaluation using the Ever Batt model reveals that this direct regeneration approach has high economic and environmental benefits.展开更多
Sodium-based dual-ion batteries(SDIBs)have been attracting increasing attention in recent years owing to their low cost,environmental benignancy,and high operating voltage.However,the sluggish ion kinetics of conventi...Sodium-based dual-ion batteries(SDIBs)have been attracting increasing attention in recent years owing to their low cost,environmental benignancy,and high operating voltage.However,the sluggish ion kinetics of conventional carbon anodes that cannot match the fast capacitive anion intercalation behavior of graphite cathodes constraints on improving power density of SDIBs.Herein,we present an ingenious carbon microdomain engineering strategy to fabricate high-performance carbon anode with ion-mediated high-activity nitrogen species and molecular-scale closed-pore architectures.Experimental characterizations and theoretical investigations demonstrate that Zn^(2+)-mediated structural engineering tailors oxidized nitrogen species,which proficiently accelerate the sodium-ion desolvation kinetics;meanwhile the acetate-mediated pore-forming process modulates closed pores,which synergistically afford abundant sodium storage sites for high plateau-region capacity.As a result,the optimized microdomain engineered carbon material(MEC_(3))tailored with the optimal amount of zinc acetate demonstrates an outstanding plateau-region capacity of 253 mAh g^(-1)even at 1 C,among the highest reported values.Consequently,the MEC_(3)||expanded graphite dual-ion battery exhibits an unprecedented cycling stability at high current rate,maintaining 80.6%capacity retention after 10,000 cycles at 10 C,among the best reports.This microdomain engineering strategy provides a new design principle for overcoming kinetic limitations of carbonaceous materials in plateau-dominated sodium storage systems.展开更多
The high polymorphism of histocompatibility complex class Ⅱ(MHC-Ⅱ)alleles and limited immunopeptidomic data hinder pan-species epitope prediction.In this study,leveraging the predictive power of AlphaFold(AF)and the...The high polymorphism of histocompatibility complex class Ⅱ(MHC-Ⅱ)alleles and limited immunopeptidomic data hinder pan-species epitope prediction.In this study,leveraging the predictive power of AlphaFold(AF)and the conserved structural features of the core region of MHC-Ⅱ-binding peptides,derived from a comprehensive analysis of MHC-Ⅱ structure data in the PDB database,we developed a new tool,AF-prediction(AF-pred),with explicit quantitative criteria for MHC-Ⅱ-restricted epitope prediction.We validated AF-pred across human,porcine,bovine,and bat MHC-Ⅱ molecules through large-scale in silico analyses using known immunopeptidome datasets(1000 positive and 1000 negative antigenic peptides),together with in vitro binding assays and crystallographic characterization of newly predicted epitopes.Using uncharacterized bat MHC-Ⅱ structures,we demonstrated that AF-pred’s amino-acid interaction prediction underpins its pan-prediction capability and the underlying rationale of the method.Conversely,this characteristic limits the prediction of atypical MHC-Ⅱ peptide-binding modes.Compared with sequence-based tools,AF-pred demonstrates enhanced cross-species MHC-Ⅱ binding prediction,with higher accuracy and interpretability,and further reveals that iterative AF updates improve AF-pred performance.AF-pred has the potential to facilitate the development of novel T-cell epitope vaccines and advance the“One Health”initiative.展开更多
The photoacoustic imaging of lipid is intrinsically constrained by the feeble nature of endogenous lipid signals,posing a persistent sensitivity challenge that demands innovative solutions.Although adopting high-effic...The photoacoustic imaging of lipid is intrinsically constrained by the feeble nature of endogenous lipid signals,posing a persistent sensitivity challenge that demands innovative solutions.Although adopting high-efficiency excitation and detection elements may improve the imaging sensitivity to a certain extent,the application of the elements is inevitably subject to various limitations in practical applications,particularly during in vivo imaging and endoscopic imaging.In this study,we propose a multi-combinatorial approach to enhance the sensitivity of lipid photoacoustic imaging.The approach involves wavelet transform processing of one-dimensional A-line signals,gradient-based denoising of two-dimensional B-scan images,and finally,threedimensional spatial weighted averaging of the data processed by the previous two steps.This method not only significantly improves the signal-to-noise ratio(SNR)in distinguished feature regions of the image by around 10 dB,but also efficiently extracts weak signals with no distinct features in the original image.After processing with this method,the images acquired under single scanning were compared with those obtained under multiple scanning.The results showed highly consistent image features,with the structural similarity index increasing from 0.2 to 0.8,confirming the accuracy and reliability of the multi-combinatorial approach.展开更多
The curing behavior of composites significantly influences their performance,making it crucial to understand the curing process.This study experimentally measured specific heat capacity,thermal conductivity,glass tran...The curing behavior of composites significantly influences their performance,making it crucial to understand the curing process.This study experimentally measured specific heat capacity,thermal conductivity,glass transition temperature,coefficient of thermal expansion,and cure shrinkage of materials.A simulation model of its curing deformation was established and validated against strain data obtained from fiber Bragg grating experiments.The effects of thickness,heating rate,and cooling rate on the curing temperature field and residual stress field during the molding of thick-section composite plates were analyzed.展开更多
The significance of bioink suitability for the extrusion bioprinting of tissue-like constructs cannot be overemphasized.Gelatin,derived from the hydrolysis of collagen,not only can mimic the extracellular matrix to imm...The significance of bioink suitability for the extrusion bioprinting of tissue-like constructs cannot be overemphasized.Gelatin,derived from the hydrolysis of collagen,not only can mimic the extracellular matrix to immensely support cell function,but also is suitable for extrusion under certain conditions.Thus,gelatin has been recognized as a promising bioink for extrusion bioprinting.However,the development of a gelatin-based bioink with satisfactory printability and bioactivity to fabricate complex tissue-like constructs with the desired physicochemical properties and biofunctions for a specific biomedical application is still in its infancy.Therefore,in this review,we aim to comprehensively summarize the state-of-the-art methods of gelatin-based bioink application for extrusion bioprinting.Wefirstly outline the properties and requirements of gelatin-based bioinks for extrusion bioprinting,highlighting the strategies to overcome their main limitations in terms of printability,structural stability and cell viability.Then,the challenges and prospects are further discussed regarding the development of ideal gelatin-based bioinks for extrusion bioprinting to create complex tissue-like constructs with preferable physicochemical properties and biofunctions.展开更多
Terahertz technology is continually evolving and much progress has been made in recent years.Many new applications are being discovered and new ways to implement terahertz imaging investigated.In this review,we limit ...Terahertz technology is continually evolving and much progress has been made in recent years.Many new applications are being discovered and new ways to implement terahertz imaging investigated.In this review,we limit our discussion to biomedical applications of terahertz imaging such as cancer detection,genetic sensing and molecular spectroscopy.Our discussion of the development of new terahertz techniques is also focused on those that may accelerate the progress of terahertz imaging and spectroscopy in biomedicine.展开更多
Advances in nanotechnology have opened new frontiers in the diagnosis and treatment of cancer.Nanoparticle-based technology improves the precision of tumor diagnosis when combined with imaging,as well as the accuracy ...Advances in nanotechnology have opened new frontiers in the diagnosis and treatment of cancer.Nanoparticle-based technology improves the precision of tumor diagnosis when combined with imaging,as well as the accuracy of drug target delivery,with fewer side effects.Optimized nanosystems have demonstrated advantages in many fields,including enhanced specificity of detection,reduced toxicity of drugs,enhanced effect of contrast agents,and advanced diagnosis and therapy of gastrointestinal(GI)cancers.In this review,we summarize the current nanotechnologies in diagnosis and treatment of GI cancers.The development of nanotechnology will lead to personalized approaches for early diagnosis and treatment of GI cancers.展开更多
Growth of population and extensive industrial development had increases solid wastes and pollutants in many parts of the world. Due to the economic and technologic limitations not all waste can be easily turn to other...Growth of population and extensive industrial development had increases solid wastes and pollutants in many parts of the world. Due to the economic and technologic limitations not all waste can be easily turn to other sort of materials or energy. As a result so, we still have to rely on the common solution to bury as to excrete urban wastes. Selection of an appropriate site for this process in a big city like Mashad in Iran is an important task which needs a cautious, strategic planning and investigations at various levels. With regards to this issue it is necessary to have a comprehensive volume of spatial information of the surrounding area and a proper analysis and spatial exploration need to be done. The methodology being implemented utilized geospatial technology for the management and visualization of spatial data while fuzzy logic is used in searching the best location for site selection. In this paper the basic elements of the fuzzy logic methodology as well as its potential in the specific problem are described. A case study for Mashad city is elaborated. The results drawn up by fuzzy logic are compared with that of the traditional Boolean approach in the decision making process.展开更多
Graphdiyne(GDY)is a two-dimensional carbon allotrope with exceptional physical and chemical properties that is gaining increasing attention.However,its efficient and scalable synthesis remains a significant challenge....Graphdiyne(GDY)is a two-dimensional carbon allotrope with exceptional physical and chemical properties that is gaining increasing attention.However,its efficient and scalable synthesis remains a significant challenge.We present a microwave-assisted approach for its continuous,large-scale production which enables synthesis at a rate of 0.6 g/h,with a yield of up to 90%.The synthesized GDY nanosheets have an average diameter of 246 nm and a thickness of 4 nm.We used GDY as a stable coating for potassium(K)metal anodes(K@GDY),taking advantage of its unique molecular structure to provide favorable paths for K-ion transport.This modification significantly inhibited dendrite formation and improved the cycling stability of K metal batteries.Full-cells with perylene-3,4,9,10-tetracarboxylic dianhydride(PTCDA)cathodes showed the clear superiority of the K@GDY anodes over bare K anodes in terms of performance,stability,and cycle life.The K@GDY maintained a stable voltage plateau and gave an excellent capacity retention after 600 cycles with nearly 100%Coulombic efficiency.This work not only provides a scalable and efficient way for GDY synthesis but also opens new possibilities for its use in energy storage and other advanced technologies.展开更多
基金supported by the National Key Research and Development of China(No.2018YFA0702804).
文摘Over the past several decades,the integration of IONs into EP emerged as an effective method for enhancing its mechanical properties.Nevertheless,challenges remain,especially with u-IONs,where the interfacial strength with EP is suboptimal,resulting in aggregation within the EP matrix and a subsequent deterioration in the mechanical performance of u-ION/EP nanocomposites.In this comprehensive review,we explored advanced chemical modification techniques tailored for IONs incorporated into EP,providing a detailed examination of the mechanical characteristics of surface cm-ION/EP nanocomposites.This review investigates various chemical modification methods and their distinct impacts on the mechanical attributes of the resulting EP nanocomposites.Special emphasis is given to addressing the persistent challenges of inadequate interfacial strength and aggregation.Furthermore,this article examines prospective surface modification approaches for inorganic oxide nanoparticles,offering a visionary outlook on methods to improve the mechanical performance of EP in future.
基金the National Natural Science Foundation of China(62174170)the Natural Science Foundation of Guangdong Province(2024A1515010123)+4 种基金the Shenzhen Science and Technology Program(20220807020526001)the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB0670000)the Shenzhen Science and Technology Program(KJZD20230923114708018,KJZD20230923114710022)the Talent Support Project of Guangdong(2021TX06C101)the Shenzhen Basic Research(JCYJ20210324115406019).
文摘Laser debonding technology has been widely used in advanced chip packaging,such as fan-out integration,2.5D/3D ICs,and MEMS devices.Typically,laser debonding of bonded pairs(R/R separation)is typically achieved by completely removing the material from the ablation region within the release material layer at high energy densities.However,this R/R separation method often results in a significant amount of release material and carbonized debris remaining on the surface of the device wafer,severely reducing product yields and cleaning efficiency for ultra-thin device wafers.Here,we proposed an interfacial separation strategy based on laser-induced hot stamping effect and thermoelastic stress wave,which enables stress-free separation of wafer bonding pairs at the interface of the release layer and the adhesive layer(R/A separation).By comprehensively analyzing the micro-morphology and material composition of the release material,we elucidated the laser debonding behavior of bonded pairs under different separation modes.Additionally,we calculated the ablation threshold of the release material in the case of wafer bonding and established the processing window for different separation methods.This work offers a fresh perspective on the development and application of laser debonding technology.The proposed R/A interface separation method is versatile,controllable,and highly reliable,and does not leave release materials and carbonized debris on device wafers,demonstrating strong industrial adaptability,which greatly facilitates the application and development of advanced packaging for ultra-thin chips.
基金supported in part by the National Natural Science Foundation of China,Nos.81927804(to GL),82260456(to LY),U21A20479(to LY)Science and Technology Planning Project of Shenzhen,No.JCYJ20230807140559047(to LY)+3 种基金Key-Area Research and Development Program of Guangdong Province,No.2020B0909020004(to GL)Guangdong Basic and Applied Research Foundation,No.2023A1515011478(to LY)the Science and Technology Program of Guangdong Province,No.2022A0505090007(to GL)Ministry of Science and Technology,Shenzhen,No.QN2022032013L(to LY)。
文摘Neural machine interface technology is a pioneering approach that aims to address the complex challenges of neurological dysfunctions and disabilities resulting from conditions such as congenital disorders,traumatic injuries,and neurological diseases.Neural machine interface technology establishes direct connections with the brain or peripheral nervous system to restore impaired motor,sensory,and cognitive functions,significantly improving patients'quality of life.This review analyzes the chronological development and integration of various neural machine interface technologies,including regenerative peripheral nerve interfaces,targeted muscle and sensory reinnervation,agonist–antagonist myoneural interfaces,and brain–machine interfaces.Recent advancements in flexible electronics and bioengineering have led to the development of more biocompatible and highresolution electrodes,which enhance the performance and longevity of neural machine interface technology.However,significant challenges remain,such as signal interference,fibrous tissue encapsulation,and the need for precise anatomical localization and reconstruction.The integration of advanced signal processing algorithms,particularly those utilizing artificial intelligence and machine learning,has the potential to improve the accuracy and reliability of neural signal interpretation,which will make neural machine interface technologies more intuitive and effective.These technologies have broad,impactful clinical applications,ranging from motor restoration and sensory feedback in prosthetics to neurological disorder treatment and neurorehabilitation.This review suggests that multidisciplinary collaboration will play a critical role in advancing neural machine interface technologies by combining insights from biomedical engineering,clinical surgery,and neuroengineering to develop more sophisticated and reliable interfaces.By addressing existing limitations and exploring new technological frontiers,neural machine interface technologies have the potential to revolutionize neuroprosthetics and neurorehabilitation,promising enhanced mobility,independence,and quality of life for individuals with neurological impairments.By leveraging detailed anatomical knowledge and integrating cutting-edge neuroengineering principles,researchers and clinicians can push the boundaries of what is possible and create increasingly sophisticated and long-lasting prosthetic devices that provide sustained benefits for users.
基金supported by the Major Project for the Integration of ScienceEducation and Industry (Grant No.2025ZDZX02)。
文摘Classical computation of electronic properties in large-scale materials remains challenging.Quantum computation has the potential to offer advantages in memory footprint and computational scaling.However,general and viable quantum algorithms for simulating large-scale materials are still limited.We propose and implement random-state quantum algorithms to calculate electronic-structure properties of real materials.Using a random state circuit on a small number of qubits,we employ real-time evolution with first-order Trotter decomposition and Hadamard test to obtain electronic density of states,and we develop a modified quantum phase estimation algorithm to calculate real-space local density of states via direct quantum measurements.Furthermore,we validate these algorithms by numerically computing the density of states and spatial distributions of electronic states in graphene,twisted bilayer graphene quasicrystals,and fractal lattices,covering system sizes from hundreds to thousands of atoms.Our results manifest that the random-state quantum algorithms provide a general and qubit-efficient route to scalable simulations of electronic properties in large-scale periodic and aperiodic materials.
基金supported by the National Science and Technology Major Project of China(No.2017-VI-0020-0093).
文摘The high-temperature interaction of nanostructured Lu_(2)Si_(2)O_(7) environmental barrier coatings(EBCs)with calcium-magnesium-aluminosilicate(CMAS)was investigated at 1400℃ for 1,10,25,and 50 h to evaluate the coating’s resistance to CMAS corrosion.The results indicate a phase transformation over time,transitioning from Ca_(2)Lu_(8)(SiO_(4))6O_(2) apatite and Lu_(2)Si_(2)O_(7) to solely Lu_(2)Si_(2)O_(7).The interaction of the Lu_(2)Si_(2)O_(7) coating with the CMAS melts was divided into three stages based on the corrosion reaction behavior.The delamination cracks were distributed throughout the interface between the Si bond layer and Lu_(2)Si_(2)O_(7) layer after corroded at 1400℃ for 50 h,signifying coating failure.In addition,the influence of monosilicates,disilicates,and corrosion duration on the recession layer thickness was analyzed by comparing previous reports on RE_(2)SiO_(5)/RE_(2)Si_(2)O_(7) coatings(RE=Gd,Yb,Lu,Er).Furthermore,the variation in the thermally grown oxide layer thickness in CMAS-corroded Lu_(2)Si_(2)O_(7) coatings was systematically investigated.
文摘We are sorry for the mistakes of Affiliation,"a State Key Laboratory of Advanced Fiber Materials,Center for Advanced Low-Dimension Materials,Donghua University,Shanghai 201620,China"should be replaced by"a State Key Laboratory of Advanced Fiber Materials,Center for Advanced Low-Dimension Materials,College of Materials Science and Engineering,Donghua University,Shanghai 201620,China".We apologized for the inconvenience caused by this error.
基金supported by the Key R&D Program of Shandong Province(No.2023SFGC0101)Shandong Excellent Young Scientists Fund Program(Overseas)(No.2023HWYQ-047)+1 种基金the Natural Science Foundation of Shandong Province(No.ZR2022QA039)the National Natural Science Foundation of China(NSFC)(No.U2106202).
文摘Traditional digitizers for signal readout of PET detectors are based on commercial analog-to-digital converters(ADC).However,the cost and power consumption of an entire electronic readout system based on digitizers for a PET scanner are high.To address this problem,a soft-core ADC based on a field-programmable gate array(FPGA)was proposed.An FPGA-based ADC(FPGA-ADC)combines low loss and high performance.To achieve good performance,the FPGA-ADC requires three calibrations:time-to-digital converter(TDC)length calibration,TDC alignment calibration,and TDC-to-ADC calibration.A prototype front-end electronics based on FPGA-ADC was built to evaluate the performance of time-of-flight positron emission tomography(TOF PET)detectors.Each PET detector consists of a LYSO crystal single-ended coupled to a silicon photomultiplier(SiPM).The experimental results show that the full-width at half-maximum(FWHM)energy resolution for 511 keV gamma photons after saturation correction of the SiPM was 12.3%.The FWHM coincidence timing resolution(CTR)of the TOF PET detector with the readout of the front-end electronic prototype is 385.2 ps.FPGA-ADCbased front-end electronics are very promising for multichannel,low-cost,highly integrated,and power-efficient readout electronic systems for radiation detector applications.
基金supported by the Anhui Quality Infrastructure Standardization Project(Grant No.2024MKSO7)the Science and Technology Project of State Grid(SGAHDK00DJJS2310027)the Anhui Provincial Natural Science Foundation(Grant No.2208085UD03).
文摘In electrochemical energy storage systems,the sodium-ion battery is typically integrated in the form of a“cell-module-cluster”,but its cross-scale thermal runaway triggering risk and the propagation mechanism remain unclear.This study reveals the cross-scale thermal runaway triggering and propagation behavior of sodium-ion batteries of“cell-module-cluster”under overcharge conditions,and investigates the effects of key factors,including module spacing,triggering cell location,and heat dissipation condition,on the thermal runaway propagation behavior.Results demonstrate that the thermal runaway propagation in a module containing the overcharged cell follows a sequential triggering mode,while thermal runaway in the downstream module exhibits a simultaneous triggering mode with greater severity.Furthermore,increasing the module spacing or enhancing the heat dissipation capacity can effectively reduce the heat accumulation and prevent the trigger of thermal runaway.On the above basis,the multi-dimensional evaluation strategy is proposed to quantitatively assess the hazard of sodium-ion battery cluster thermal runaway.The findings serve as a foundation for the safe design of sodium-ion batteries in energy storage systems.
基金supported in part by the National Natural Science Foundation of China(Nos.12305349,12235006,12027812)Shenzhen Science and Technology Program(No.JSGGKQTD20210831174329010)Guangdong Basic and Applied Basic Research Foundation(No.2021TQ06Y108).
文摘This study aims to investigate the responses of a perovskite-based direct-conversion dual-layer flat-panel detector(DL-FPD)numerically.To this end,the X-ray sensitivity,spatial resolution quantified by the modulation transfer function(MTF),and detective quantum efficiency(DQE)of the DL-FPD are evaluated numerically using a linear cascade model.In addition,both the single-crystal(SC)and polycrystalline(PC)structures of MAPbI_(3)are investigated,along with various other key parameters such as the material thickness,electric field strength,X-ray beam spectrum,and electronic readout noise.The results demonstrate that SC perovskite consistently exhibits better performance than PC perovskite owing to fewer material defects.Increasing the layer thickness may decrease the MTF,but can also enhance the sensitivity and DQE.Moreover,appropriately increasing the external electric field within the material can improve the sensitivity,MTF,and DQE.Finally,reducing the electronic readout noise can significantly enhance the DQE for low-dose imaging.This study demonstrates the potential of high-quality dual-energy X-ray imaging using direct-conversion perovskite DL-FPDs.
基金supported by STI2030-Major Project,No,2021ZD0204200(to LX).
文摘Neurodegenerative diseases,which are characterized by progressive neuronal loss and the lack of disease-modifying therapies,are becoming a major global health challenge.The existing neuromodulation techniques,such as deep brain stimulation and transcranial magnetic stimulation,show limitations such as invasiveness,restricted cortical targeting,and irreversible tissue effects.In this context,low-intensity transcranial ultrasound has emerged as a promising noninvasive alternative that can penetrate deep into the brain and modulate neuroplasticity.This review comprehensively assesses the therapeutic mechanisms,efficacy,and translational potential of low-intensity transcranial ultrasound in treating neurodegenerative diseases,with emphasis on its role in promoting neuronal regeneration,modulating neuroinflammation,and enhancing functional recovery.We summarize the findings of previous studies and systematically illustrate the potential of low-intensity transcranial ultrasound in regulating cell death mechanisms,enhancing neural repair and regeneration,and alleviating symptoms associated with neurodegenerative diseases.Preclinical findings indicate that low-intensity transcranial ultrasound can enhance the release of neurotrophic factors(e.g.,brain-derived neurotrophic factor),promote autophagy to clear protein aggregates,modulate microglial activation,and temporarily open the blood-brain barrier to facilitate targeted drug delivery.Existing clinical trial data show that low-intensity transcranial ultrasound can reduce amyloid-βplaques,improve motor and cognitive deficits,and promote remyelination in various disease models.Early clinical trials suggest that low-intensity transcranial ultrasound may enhance cognitive scores in Alzheimer’s disease and alleviate motor symptoms in Parkinson’s disease,all while demonstrating a favorable safety profile.Past studies support the notion that by integrating safety,precision,and reversibility,low-intensity transcranial ultrasound can transform the treatment landscape for neurodegenerative disease.However,more advancements are necessary for future clinical application of low-intensity transcranial ultrasound,including optimizing parameters such as frequency,intensity,and duty cycle;considering individual anatomical differences;and confirming long-term efficacy.We believe establishing standardized protocols,conducting larger trials,and investigating the underlying mechanisms to clarify dose-response relationships and refine personalized application strategies are essential in this regard.Future research should focus on translating preclinical findings into clinical practice,addressing technical challenges,and exploring combination therapies with pharmacological or gene interventions.
基金financial support from the National Key R&D Program of China(2022YFB2402600)the National Natural Science Foundation of China(52372250,52125105,52173242)+1 种基金Shenzhen Science and Technology Planning Project(RCYX20221008092850072,JSGG20220831104004008,KJZD20230923113859006,JCYJ20220531100405012,KJZD20241122161900001)Science and Technology Planning Project of Guangdong Province(2024A1515030076)。
文摘The rapid accumulation of spent LiFePO_(4)(LFP)cathodes from retired lithium-ion batteries necessitates the development of effective and environmental-friendly recycling strategies.In this context,direct regeneration has emerged as a promising approach for reclaiming LFP cathode materials,offering a streamlined pathway to restore their electrochemical functionality.We report an integrated regeneration protocol that simultaneously repairs the degraded crystal structure and reconstructs the damaged carbon coating in spent LFP.The regenerated cathode material had superfast lithium-ion diffusion kinetics and a stable cathode-electrolyte interface,giving a remarkable rate capability with specific capacities of 122 m Ah g^(-1)at 5C and 106 m Ah g^(-1)at 10C(1C=170 m A g^(-1)).It also maintained capacities of 110.7 m Ah g^(-1)(5C)and 84.1 m Ah g^(-1)(10C)after 400 cycles.It could be used in harsh environments and could be stably cycled at subzero temperatures(-10 and-20°C)and in solid-state electrolyte batteries.Life cycle assessment combined with economic evaluation using the Ever Batt model reveals that this direct regeneration approach has high economic and environmental benefits.
基金support from the National Key R&D Program of China(2022YFB2402600)the National Natural Science Foundation of China(52125105,52572282,52472269,52273312,22309200)+3 种基金Guangdong Basic and Applied Basic Research Foundation(2024A1515010201,2024A1515012379,2024A1515011670,2023A1515011519)Guangdong Special Support Program Outstanding Young Talents in Science and Technology Innovation(2021TQ05L894)Shenzhen Science and Technology Planning Project(JSGG20220831104004008,SGDX20230116092055008,KCXST20221021111606016)the NSRF via the Program Management Unit for Human Resources&Institutional Development,Research and Innovation(B49G680115).
文摘Sodium-based dual-ion batteries(SDIBs)have been attracting increasing attention in recent years owing to their low cost,environmental benignancy,and high operating voltage.However,the sluggish ion kinetics of conventional carbon anodes that cannot match the fast capacitive anion intercalation behavior of graphite cathodes constraints on improving power density of SDIBs.Herein,we present an ingenious carbon microdomain engineering strategy to fabricate high-performance carbon anode with ion-mediated high-activity nitrogen species and molecular-scale closed-pore architectures.Experimental characterizations and theoretical investigations demonstrate that Zn^(2+)-mediated structural engineering tailors oxidized nitrogen species,which proficiently accelerate the sodium-ion desolvation kinetics;meanwhile the acetate-mediated pore-forming process modulates closed pores,which synergistically afford abundant sodium storage sites for high plateau-region capacity.As a result,the optimized microdomain engineered carbon material(MEC_(3))tailored with the optimal amount of zinc acetate demonstrates an outstanding plateau-region capacity of 253 mAh g^(-1)even at 1 C,among the highest reported values.Consequently,the MEC_(3)||expanded graphite dual-ion battery exhibits an unprecedented cycling stability at high current rate,maintaining 80.6%capacity retention after 10,000 cycles at 10 C,among the best reports.This microdomain engineering strategy provides a new design principle for overcoming kinetic limitations of carbonaceous materials in plateau-dominated sodium storage systems.
基金supported by the National Key Research and Development Program of China(grant number 2021YFD1800100 to N.Z.)the National Natural Science Foundation of China(grant number 32172871 to N.Z.)the 2115 Talent Development Program of China Agricultural University to N.Z.This study was supported by High-performance Computing Platform of China Agricultural University.
文摘The high polymorphism of histocompatibility complex class Ⅱ(MHC-Ⅱ)alleles and limited immunopeptidomic data hinder pan-species epitope prediction.In this study,leveraging the predictive power of AlphaFold(AF)and the conserved structural features of the core region of MHC-Ⅱ-binding peptides,derived from a comprehensive analysis of MHC-Ⅱ structure data in the PDB database,we developed a new tool,AF-prediction(AF-pred),with explicit quantitative criteria for MHC-Ⅱ-restricted epitope prediction.We validated AF-pred across human,porcine,bovine,and bat MHC-Ⅱ molecules through large-scale in silico analyses using known immunopeptidome datasets(1000 positive and 1000 negative antigenic peptides),together with in vitro binding assays and crystallographic characterization of newly predicted epitopes.Using uncharacterized bat MHC-Ⅱ structures,we demonstrated that AF-pred’s amino-acid interaction prediction underpins its pan-prediction capability and the underlying rationale of the method.Conversely,this characteristic limits the prediction of atypical MHC-Ⅱ peptide-binding modes.Compared with sequence-based tools,AF-pred demonstrates enhanced cross-species MHC-Ⅱ binding prediction,with higher accuracy and interpretability,and further reveals that iterative AF updates improve AF-pred performance.AF-pred has the potential to facilitate the development of novel T-cell epitope vaccines and advance the“One Health”initiative.
基金supported by the National Key Research and Development Program of China(2022YFC2402400)the National Natural Science Foundation of China(82027803,62275062)+7 种基金the Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology(2020B121201010)the Shenzhen Science and Technology Innovation Committee under Grant(JCYJ20220818101417039)the Shenzhen Key Laboratory for Molecular lmaging(ZDSY20130401165820357)the Shenzhen Medical Research Fund(D2404002)the Project of Shandong Innovation and Startup Community of High-end Medical Apparatus and Instruments(2023-SGTTXM-002 and 2024-SGTTXM-005)the Shandong Province Technology Innovation Guidance Plan(Central Leading Local Science and Technology Development Fund)(YDZX2023115)the Taishan Scholar Special Funding Project of Shandong Provinceand the Shandong Laboratory of Advanced Biomaterials and Medical Devices in Weihai(ZL202402).
文摘The photoacoustic imaging of lipid is intrinsically constrained by the feeble nature of endogenous lipid signals,posing a persistent sensitivity challenge that demands innovative solutions.Although adopting high-efficiency excitation and detection elements may improve the imaging sensitivity to a certain extent,the application of the elements is inevitably subject to various limitations in practical applications,particularly during in vivo imaging and endoscopic imaging.In this study,we propose a multi-combinatorial approach to enhance the sensitivity of lipid photoacoustic imaging.The approach involves wavelet transform processing of one-dimensional A-line signals,gradient-based denoising of two-dimensional B-scan images,and finally,threedimensional spatial weighted averaging of the data processed by the previous two steps.This method not only significantly improves the signal-to-noise ratio(SNR)in distinguished feature regions of the image by around 10 dB,but also efficiently extracts weak signals with no distinct features in the original image.After processing with this method,the images acquired under single scanning were compared with those obtained under multiple scanning.The results showed highly consistent image features,with the structural similarity index increasing from 0.2 to 0.8,confirming the accuracy and reliability of the multi-combinatorial approach.
基金supported by the National Natural Science Foundation of China(Grant Nos.12172045,U2241240,and 12221002)the National Program on Key Basic Research Project,China(Grant No.2019-JCJQ-ZD-308-00).
文摘The curing behavior of composites significantly influences their performance,making it crucial to understand the curing process.This study experimentally measured specific heat capacity,thermal conductivity,glass transition temperature,coefficient of thermal expansion,and cure shrinkage of materials.A simulation model of its curing deformation was established and validated against strain data obtained from fiber Bragg grating experiments.The effects of thickness,heating rate,and cooling rate on the curing temperature field and residual stress field during the molding of thick-section composite plates were analyzed.
基金support for this work from the National Key R&D Program of China(No.2018YFA0703100)the National Natural Sci-ence Foundation of China(Nos.32122046,82072082,and 32000959)+2 种基金the Youth Innovation Promotion Association of CAS(No.2019350)the Guangdong Natural Science Foundation(No.2019A1515111197)the Shenzhen Fundamental Research Foun-dation(Nos.JCYJ20190812162809131,JCYJ20200109114006014,JCYJ20210324113001005,and JCYJ20210324115814040).
文摘The significance of bioink suitability for the extrusion bioprinting of tissue-like constructs cannot be overemphasized.Gelatin,derived from the hydrolysis of collagen,not only can mimic the extracellular matrix to immensely support cell function,but also is suitable for extrusion under certain conditions.Thus,gelatin has been recognized as a promising bioink for extrusion bioprinting.However,the development of a gelatin-based bioink with satisfactory printability and bioactivity to fabricate complex tissue-like constructs with the desired physicochemical properties and biofunctions for a specific biomedical application is still in its infancy.Therefore,in this review,we aim to comprehensively summarize the state-of-the-art methods of gelatin-based bioink application for extrusion bioprinting.Wefirstly outline the properties and requirements of gelatin-based bioinks for extrusion bioprinting,highlighting the strategies to overcome their main limitations in terms of printability,structural stability and cell viability.Then,the challenges and prospects are further discussed regarding the development of ideal gelatin-based bioinks for extrusion bioprinting to create complex tissue-like constructs with preferable physicochemical properties and biofunctions.
文摘Terahertz technology is continually evolving and much progress has been made in recent years.Many new applications are being discovered and new ways to implement terahertz imaging investigated.In this review,we limit our discussion to biomedical applications of terahertz imaging such as cancer detection,genetic sensing and molecular spectroscopy.Our discussion of the development of new terahertz techniques is also focused on those that may accelerate the progress of terahertz imaging and spectroscopy in biomedicine.
基金Supported by the Nanshan District Science and Technology Plan Project,No.2020048 Generalthe Shenzhen Fund for Guangdong Provincial High-level Clinical Key Specialties,No.SZGSP010.
文摘Advances in nanotechnology have opened new frontiers in the diagnosis and treatment of cancer.Nanoparticle-based technology improves the precision of tumor diagnosis when combined with imaging,as well as the accuracy of drug target delivery,with fewer side effects.Optimized nanosystems have demonstrated advantages in many fields,including enhanced specificity of detection,reduced toxicity of drugs,enhanced effect of contrast agents,and advanced diagnosis and therapy of gastrointestinal(GI)cancers.In this review,we summarize the current nanotechnologies in diagnosis and treatment of GI cancers.The development of nanotechnology will lead to personalized approaches for early diagnosis and treatment of GI cancers.
文摘Growth of population and extensive industrial development had increases solid wastes and pollutants in many parts of the world. Due to the economic and technologic limitations not all waste can be easily turn to other sort of materials or energy. As a result so, we still have to rely on the common solution to bury as to excrete urban wastes. Selection of an appropriate site for this process in a big city like Mashad in Iran is an important task which needs a cautious, strategic planning and investigations at various levels. With regards to this issue it is necessary to have a comprehensive volume of spatial information of the surrounding area and a proper analysis and spatial exploration need to be done. The methodology being implemented utilized geospatial technology for the management and visualization of spatial data while fuzzy logic is used in searching the best location for site selection. In this paper the basic elements of the fuzzy logic methodology as well as its potential in the specific problem are described. A case study for Mashad city is elaborated. The results drawn up by fuzzy logic are compared with that of the traditional Boolean approach in the decision making process.
基金supported by National Natural Science Foundation of China(52302034,52402060,52202201,52021006)Beijing National Laboratory for Molecular Sciences(BNLMS-CXTD202001)+1 种基金Shenzhen Science and Technology Innovation Commission(KQTD20221101115627004)China Postdoctoral Science Foundation(2024T170972)。
文摘Graphdiyne(GDY)is a two-dimensional carbon allotrope with exceptional physical and chemical properties that is gaining increasing attention.However,its efficient and scalable synthesis remains a significant challenge.We present a microwave-assisted approach for its continuous,large-scale production which enables synthesis at a rate of 0.6 g/h,with a yield of up to 90%.The synthesized GDY nanosheets have an average diameter of 246 nm and a thickness of 4 nm.We used GDY as a stable coating for potassium(K)metal anodes(K@GDY),taking advantage of its unique molecular structure to provide favorable paths for K-ion transport.This modification significantly inhibited dendrite formation and improved the cycling stability of K metal batteries.Full-cells with perylene-3,4,9,10-tetracarboxylic dianhydride(PTCDA)cathodes showed the clear superiority of the K@GDY anodes over bare K anodes in terms of performance,stability,and cycle life.The K@GDY maintained a stable voltage plateau and gave an excellent capacity retention after 600 cycles with nearly 100%Coulombic efficiency.This work not only provides a scalable and efficient way for GDY synthesis but also opens new possibilities for its use in energy storage and other advanced technologies.
