In molybdenum chemistry,the oxidative addition of o-quinone or 1,2-dicarbonyl compounds to molybdenum has been widely used in Mo-catalyzed C—C bond construction.The carbonyl oxidative addition to Mo(0)or Mo(Ⅱ)is the...In molybdenum chemistry,the oxidative addition of o-quinone or 1,2-dicarbonyl compounds to molybdenum has been widely used in Mo-catalyzed C—C bond construction.The carbonyl oxidative addition to Mo(0)or Mo(Ⅱ)is the critical elementary reaction of molybdenum catalysis.However,the relevant density functional theory(DFT)studies are relatively scarce,especially regarding the rational selection of functionals.In this work,14 functionals were employed to investigate the Mo-catalyzed carbonyl oxidative addition step.A benchmark study was carried out to evaluate their performance in structure optimization and energy calculation.Analyses of mean absolute error(MAE)and mean squared error(MSE)indicated that the B3LYP-D3(BJ),TPSSh,and ωB97X-D functionals exhibited superior performance in structure optimization.Using the DLPNO-CCSD(T)functional as the reference,the M06,M06-L,and MN15-L functionals exhibited good performance for energy calculation based on the structures optimized using the B3LYP-D3(BJ)functional.In particular,MN15-L provided the best performance with the smallest MAE and MSE.展开更多
To generate a neutron beam exhibiting a Maxwellian energy distribution with narrow emission angles for measuring the neutron capture reaction rates of the s-process nuclides,a monoenergetic 3.4 MeV proton beam produce...To generate a neutron beam exhibiting a Maxwellian energy distribution with narrow emission angles for measuring the neutron capture reaction rates of the s-process nuclides,a monoenergetic 3.4 MeV proton beam produced by the tandem-accelerator in the China Institute of Atomic Energy was utilized.The proton beam was first transmitted through a 60.5μm aluminum foil and then impinged on a natural LiF target to produce neutron beam via^(7)Li(p,n)7Be reaction.The quasi-Gaussian energy distribution of protons in the LiF target resulted in neutron energy spectra that agreed with a Maxwellian energy distribution at kT=(22±2)keV,which was achieved by integrating neutrons detected within an emission angle of 65.0°±2.6°using a ^(6)Li glass detector positioned at 65°relative to the proton beam direction.The narrow angular spread of the Maxwelliandistributed neutron beam enables direct measurement of neutron capture cross-sections for most s-process nuclides,overcoming previous experimental limitations associated with broad angular distributions.展开更多
The increasing global threat of water pollution demands advanced multilayer sensing technologies with efficacy to detect contaminants with high sensitivity and adaptability in complex aquatic environments.In this theo...The increasing global threat of water pollution demands advanced multilayer sensing technologies with efficacy to detect contaminants with high sensitivity and adaptability in complex aquatic environments.In this theoretical analysis,we investigated a novel multilayer surface plasmon resonance(SPR)system as an optical sensing platform to detect water pollutants and salinity concentrations.The proposed sensor comprised silver,barium borate(BBO),and black phosphorus(BP)layers on a Borokon 7(BK7)prism,which formed a tunable and highly responsive configuration under the Kretschmann geometry.It employed the transfer matrix method(TMM)and angular interrogation in the visible regime to evaluate reflectance spectra and key sensing parameters.The outcomes revealed that the sensor exhibited high sensitivity and selectivity for refractive index(RI)variations corresponding to polluted water samples,including sodium chloride(NaCl)concentrations.The system exhibited strong plasmonic coupling and interfacial interactions,yielding the maximum sensitivity(138.7°/RIU)and figure of merit(73.57 RIU^(-1))toward water samples with 4%NaCl and chemical contamination,respectively.At refractive index of 1.33 and 1.34,by varying the layers of BBO and BP,the maximum sensitivity achieved was 320°/RIU with six BBO layers and a monolayer of BP.These results demonstrated that the proposed SPR sensor configuration,which successfully differentiated between various water quality levels based on refractive index variations,had tremendous potential for next‐generation real‐time water quality monitoring.展开更多
The Yellow Sea and Bohai Sea are among the global shelf seas susceptible to typhoons every year.Using observations and high-resolution numerical simulations,the current study investigates the dramatic changes in tempe...The Yellow Sea and Bohai Sea are among the global shelf seas susceptible to typhoons every year.Using observations and high-resolution numerical simulations,the current study investigates the dramatic changes in temperature and ocean heat content(OHC)of the Yellow Sea and Bohai Sea caused by Super Typhoon Maysak in early September 2020,which is representative of northward/northeastward-bypassing typhoons with centers just to the east of the study area.Temperature shows spatially coherent cooling in the upper mixed layer but warming in the subsurface layer in the majority of the offshore waters,due to wind-enhanced vertical mixing.In lower layers from the thermocline to sea bottom,temperature experiences significant warming in northeastern coastal waters of the Shandong Peninsula and in regions just off the Subei Shoal,but significant cooling in western coastal waters of the Korean Peninsula and southern coastal waters of the Shandong Peninsula.Significant temperature warming/cooling in lower layers is caused by coastal downwelling/upwelling.The total OHC of the study area decreases rapidly during Typhoon Maysak(2020)’s passage,which is generated comparably by latent heat loss at the sea surface and southward heat advection out of the study area at the southern boundary.Reduced shortwave radiation contributes positively but secondarily to the decreasing OHC during the first day.A numerical experiment suggests that Typhoon Maysak(2020)-induced OHC decline could have greatly affected the regional climate evolution in the following seasons.More studies are needed to fully understand the impacts of typhoons on regional climate changes in shelf seas at different time scales.展开更多
Attempts have been made to modulate motor sequence learning(MSL)through repetitive transcranial magnetic stimulation,targeting different sites within the sensorimotor network.However,the target with the optimum modula...Attempts have been made to modulate motor sequence learning(MSL)through repetitive transcranial magnetic stimulation,targeting different sites within the sensorimotor network.However,the target with the optimum modulatory effect on neural plasticity associated with MSL remains unclarified.This study was therefore designed to compare the role of the left primary motor cortex and the left supplementary motor area proper(SMAp)in modulating MSL across different complexity levels and for both hands,as well as the associated neuroplasticity by applying intermittent theta burst stimulation together with the electroencephalogram and concurrent transcranial magnetic stimulation.Our data demonstrated the role of SMAp stimulation in modulating neural communication to support MSL,which is achieved by facilitating regional activation and orchestrating neural coupling across distributed brain regions,particularly in interhemispheric connections.These findings may have important clinical implications,particularly for motor rehabilitation in populations such as post-stroke patients.展开更多
The"Talk to the Plants"course,as an interdisciplinary integrated teaching innovation practice course,aims to break through the knowledge-imparting model of traditional botany education.It establishes a profo...The"Talk to the Plants"course,as an interdisciplinary integrated teaching innovation practice course,aims to break through the knowledge-imparting model of traditional botany education.It establishes a profound interactive bridge between humans and plants,cultivating students'ecological awareness,scientific literacy,and humanistic values.With life education at its core,the course integrates multidisciplinary knowledge from botany,ecology,psychology,and arts.Leveraging modern technologies including VR/AR and sensor monitoring,it creates immersive learning environments that guide students to engage with plants through scientific inquiry,emotional empathy,and artistic expression.This exploration establishes a new paradigm for developing well-rounded talents in ecological civilization while offering both theoretical insights and practical models for interdisciplinary curriculum reform in the new era,demonstrating significant value in educational innovation.展开更多
Heat dissipation highly relies on the thermal conductivity(κ)of materials.Materials with large bandgaps and signifcant atomic mass ratios,such as BAs,SiC,andθ-TaN,have attracted considerable attention due to their p...Heat dissipation highly relies on the thermal conductivity(κ)of materials.Materials with large bandgaps and signifcant atomic mass ratios,such as BAs,SiC,andθ-TaN,have attracted considerable attention due to their potential for achieving ultra-highκ,with BAs serving as a particularly representative example due to its unique combination of large bandgap and high thermal conductivity.In this paper,the efects of atomic mass modifcation on phonon bandgap andκare systematically investigated using a BAs model,accounting for both three-and four-phonon scattering processes.A 20%increase inκcan be obtained by substituting B,achieved through widening the phonon bandgap,which suppresses phonon scattering.Notably,the AAOO four-phonon scattering channel is more suppressed than the AAO three-phonon channel,leading to an increased phonon lifetime(τ).For As,κcan also be enhanced by 5%when replaced by lighter atoms,such as^(69)As,primarily due to the increased phonon group velocity(υ).We systematically clarify how atomic-mass-induced bandgap variations afectτ,υ,and thereforeκin wide-bandgap systems.Our work provides a specifc scheme for further improving the ultra-highκof materials with large bandgaps,which possesses great guiding signifcance.展开更多
A droplet generator is one of a key module for realizing the Sn-LPP EUV light source.One way of improving a conversion efficiency(CE)and relax tin contamination issue of Sn-LPP EUV light source is to produce tin dropl...A droplet generator is one of a key module for realizing the Sn-LPP EUV light source.One way of improving a conversion efficiency(CE)and relax tin contamination issue of Sn-LPP EUV light source is to produce tin droplet targets with suitable size.Less than several 10-μm nozzles are used to generate tin droplets.Particles from environment and chemical reaction compounds with high temperature tin cause nozzle clogging issue often.It is significant to develop a technical approach using a large diameter nozzle to produce mass-limited targets.Therefore,this paper demonstrated droplet ejection experiments based on electrohydrodynamics(EHD).Characteristics of isopropanol(IPA)droplet ejection by EHD droplet production platform that was designed and constructed in our laboratory.Characteristics of various process parameters on the IPA droplet production process were investigated.Images of droplet formation process were observed by using a droplet observation system and analyzed by image analysis software.Consequently,the smallest IPA droplet with a diameter of 13μm could be produced using a nozzle with a diameter of 50μm.Additionally,the EHD method could make droplets from 13μm to 55μm with applying voltage from 5.5 kV to 2.5 kV.In the future,EHD will apply to make mass-limited tin droplet targets under vacuum and high-temperature conditions,in order to increase the CE and to decrease tin debris.展开更多
Objective:Allogeneic hematopoietic stem cell transplantation(allo-HSCT)is the only potentially curative method for treating myelodysplastic syndrome(MDS).Post-HSCT measurable residual disease(post-HSCT MRD)is associat...Objective:Allogeneic hematopoietic stem cell transplantation(allo-HSCT)is the only potentially curative method for treating myelodysplastic syndrome(MDS).Post-HSCT measurable residual disease(post-HSCT MRD)is associated with inferior transplant outcomes.In this prospective study,we aimed to investigate the prognostic value of post-HSCT MRD in relapse prediction in MDS.Methods:A total of 166 patients diagnosed with MDS were prospectively enrolled in this study.The KaplanMeier method was used to calculate the survival probabilities.Potential risk factors for outcomes after transplantation were evaluated through univariate and multivariate Cox regression models.Results:For patients with negative and positive post-HSCT MRD,the cumulative incidence of relapse(CIR)and disease-free survival(DFS)at 3 years were 5.9%and 69.6%(P<0.001)and 82.7%and 26.1%(P<0.001),respectively.In the multivariate analysis,post-HSCT MRD(HR=22.801,P<0.001)and Revised International Prognostic Scoring System(IPSS-R)risk stratification(HR=4.346,P=0.003)were independently correlated with relapse.A scoring system for relapse prediction was built based on post-HSCT MRD and IPSS-R stratification.The cumulative incidence of relapse at 3 years was 1.1%,15.8%,and 91.7%for patients with scores of 0,1,and 2,respectively(P<0.001).Conclusions:Our results demonstrated both post-HSCT MRD and IPSS-R scores were independent prognostic factors for OS,DFS,and relapse for MDS patients after allo-HSCT.The risk score system could better predict transplant outcomes and refine the risk stratification than alone in patients with MDS.展开更多
Chemical short-range order(SRO),a phenomenon at the atomic scale resulting from inhomogeneities in the local chemical environment,is usually studied using machine learning force field-based molecular dynamics simulati...Chemical short-range order(SRO),a phenomenon at the atomic scale resulting from inhomogeneities in the local chemical environment,is usually studied using machine learning force field-based molecular dynamics simulations due to the limitations of experimental methods.To promote the reliable application of machine potentials in high-entropy alloy simulations,first,this work uses NEP models trained on two different datasets to predict the SRO coefficients of NbMoTaW.The results show that within the same machine learning framework,there are significant differences in the prediction of SRO coefficients for the Nb-Nb atomic pair.Subsequently,this work predicts the SRO coefficients of NbMoTaW using the NEP model and the SNAP model,both of which are trained on the same dataset.The results reveal significant discrepancies in SRO predictions for like-element pairs(e.g.,Nb-Nb and W-W)between the two potentials,despite the identical training data.The findings of this study indicate that discrepancies in the prediction results of SRO coefficients can arise from either the same machine learning framework trained on different datasets or different learning frameworks trained on the same dataset.This reflects possible incompleteness in the current training set's coverage of local chemical environments at the atomic scale.Future research should establish unified evaluation standards to assess the capability of training sets to accurately describe complex atomic-scale behaviors such as SRO.展开更多
Accurate daily suspended sediment load(SSL)prediction is essential for sustainable water resource management,sediment control,and environmental planning.However,SSL prediction is highly complex due to its nonlinear an...Accurate daily suspended sediment load(SSL)prediction is essential for sustainable water resource management,sediment control,and environmental planning.However,SSL prediction is highly complex due to its nonlinear and dynamic nature,making traditional empirical models inadequate.This study proposes a novel hybrid approach,integrating the Adaptive Neuro-Fuzzy Inference System(ANFIS)with the Gradient-Based Optimizer(GBO),to enhance SSL forecasting accuracy.The research compares the performance of ANFIS-GBO with three alternative models:standard ANFIS,ANFIS with Particle Swarm Optimization(ANFIS-PSO),and ANFIS with Grey Wolf Optimization(ANFIS-GWO).Historical SSL and streamflow data from the Bailong River Basin,China,are used to train and validate the models.The input selection process is optimized using the Multivariate Adaptive Regression Splines(MARS)method.Model performance is evaluated using statistical metrics such as Root Mean Square Error(RMSE),Mean Absolute Error(MAE),Mean Absolute Percentage Error(MAPE),Nash Sutcliffe Efficiency(NSE),and Determination Coefficient(R^(2)).Additionally,visual assessments,including scatter plots,Taylor diagrams,and violin plots,provide further insights into model reliability.The results indicate that including historical SSL data improves predictive accuracy,with ANFIS-GBO outperforming the other models.ANFIS-GBO achieves the lowest RMSE and MAE and the highest NSE and R^(2),demonstrating its superior learning ability and adaptability.The findings highlight the effectiveness of nature-inspired optimization algorithms in enhancing sediment load forecasting and contribute to the advancement of AI-based hydrological modeling.Future research should explore the integration of additional environmental and climatic variables to enhance predictive capabilities further.展开更多
The increasing global adoption of electric vehicles(EVs)has led to a growing demand for a cost-effective and reliable charging infrastructure.This study presents a novel data-driven approach to assessing EV station pe...The increasing global adoption of electric vehicles(EVs)has led to a growing demand for a cost-effective and reliable charging infrastructure.This study presents a novel data-driven approach to assessing EV station performance by analyzing power consumption efficiency,station utilization rates,no-power session occurrences,and CO_(2)reduction metrics.A dataset of 17,500 charging sessions from 305 stations across a regional network was analyzed to identify operational inefficiencies and opportunities for infrastructure optimization.Results indicate a strong correlation between station utilization and energy efficiency,highlighting the importance of strategic station placement.The findings also emphasize the impact of no-power sessions on network inefficiency and the need for real-time station monitoring.CO_(2)reduction analysis demonstrates that optimizing EV charging performance can significantly contribute to sustainability goals.Based on these insights,this study recommends the implementation of predictive maintenance strategies,real-time user notifications,and diversified provider networks to improve station availability and efficiency.The proposed data-driven framework offers actionable solutions for policymakers,charging network operators,and urban planners to enhance EV infrastructure reliability and sustainability.展开更多
Quasi-two-dimensional(quasi-2d)perovskites are promising gain media for micro-nano lasers,yet their uncontrolled crystallization and abundant low-n phases often hinder optical gain and device performance.In this work,...Quasi-two-dimensional(quasi-2d)perovskites are promising gain media for micro-nano lasers,yet their uncontrolled crystallization and abundant low-n phases often hinder optical gain and device performance.In this work,we introduce ethyl acetate(EA)as a green antisolvent to fabricate high-quality quasi-2D PEA_(0.4)MAPbBr_(3)films.The EA-treated films exhibit superior morphology,enhanced crystallinity,and notably inhibited low n-phases.These improvements yield a prolonged photoluminescence lifetime of 26.3 ns and a substantially extended gain lifetime of 129 ps.Consequently,the optimized film exhibits a markedly reduced amplified spontaneous emission(ASE)threshold of 5.6μJ·cm^(-2)and a high net modal gain of 935 cm^(-1).Leveraging these enhanced gain properties,we successfully demonstrate a vertical-cavity surface-emitting laser(VCSEL)based on a dielectric Bragg reflector microcavity,which delivers single-mode lasing at 528.3 nm and a high quality factor of~5886.This work presents a green-solvent-engineering strategy for high-performance perovskite lasers,advancing their prospects for scalable photonic integration.展开更多
new sesquiterpene-lactone,designated as neopentalenolactone D1(1),was isolated from the fermentation cultures of Streptomyces aureus SP-371,which is known for producing agricultural-bactericide aureonuclemycin.The che...new sesquiterpene-lactone,designated as neopentalenolactone D1(1),was isolated from the fermentation cultures of Streptomyces aureus SP-371,which is known for producing agricultural-bactericide aureonuclemycin.The chemical structure of compound 1 was determined to be a neopentapyrrole natural product with a 5/5/6 tricyclic skeleton and one amide functional group,by using spectroscopic techniques such as nuclear magnetic resonance(1D/2D NMR)and high-resolution mass spectrometry(HR-ESI-MS).Its structural information indicates that it is probably the shunt product of neopentalenolactone biosynthetic pathway.In antibacterial activity evaluations,compound 1 demonstrated no inhibitory effects against the tested strains including Escherichia coli(DH5a),Staphylococcus aureus,and Bacillus subtilis under the experimental conditions.展开更多
Near-infrared image sensors are widely used in fields such as material identification,machine vision,and autonomous driving.Lead sulfide colloidal quantum dot-based infrared photodiodes can be integrated with sil⁃icon...Near-infrared image sensors are widely used in fields such as material identification,machine vision,and autonomous driving.Lead sulfide colloidal quantum dot-based infrared photodiodes can be integrated with sil⁃icon-based readout circuits in a single step.Based on this,we propose a photodiode based on an n-i-p structure,which removes the buffer layer and further simplifies the manufacturing process of quantum dot image sensors,thus reducing manufacturing costs.Additionally,for the noise complexity in quantum dot image sensors when capturing images,traditional denoising and non-uniformity methods often do not achieve optimal denoising re⁃sults.For the noise and stripe-type non-uniformity commonly encountered in infrared quantum dot detector imag⁃es,a network architecture has been developed that incorporates multiple key modules.This network combines channel attention and spatial attention mechanisms,dynamically adjusting the importance of feature maps to en⁃hance the ability to distinguish between noise and details.Meanwhile,the residual dense feature fusion module further improves the network's ability to process complex image structures through hierarchical feature extraction and fusion.Furthermore,the pyramid pooling module effectively captures information at different scales,improv⁃ing the network's multi-scale feature representation ability.Through the collaborative effect of these modules,the network can better handle various mixed noise and image non-uniformity issues.Experimental results show that it outperforms the traditional U-Net network in denoising and image correction tasks.展开更多
The Kibble-Zurek (KZ) effect offers an overarching description of dynamical scaling behavior near a critical point.[1,2] Originally proposed in a classical setup,the KZ effect has been generalized to quantum phase tra...The Kibble-Zurek (KZ) effect offers an overarching description of dynamical scaling behavior near a critical point.[1,2] Originally proposed in a classical setup,the KZ effect has been generalized to quantum phase transitions[3-5] and is actively explored on quantum simulation platforms.[6-9] Exploring how the KZ effect fares across different criticalities has proven to be a rewarding pursuit,significantly enriching our understanding of nonequilibrium quantum dynamics.[3-5,10-23]展开更多
Objective:To investigate the sterilizing potential of zinc gluconate,calcium chloride(CaCl_(2))and cadmium chloride(CdCl_(2))following a single intratesticular administration in adult male rats.Methods:60 adult male W...Objective:To investigate the sterilizing potential of zinc gluconate,calcium chloride(CaCl_(2))and cadmium chloride(CdCl_(2))following a single intratesticular administration in adult male rats.Methods:60 adult male Wistar albino rats(Rattus norvegicus)weighing 160-200 g and aged 5-6 months randomly received a single intratesticular injection of normal saline(Group A),zinc gluconate 13.3 mg/mL plus L-Arginine(Group B),20%CaCl_(2)(Group C),and CdCl_(2)0.5 mg/kg body weight plus ethylenediaminetetraacetic acid(EDTA)(Group D),respectively,along the entire route from the caudoventral aspect of each testis.They were euthanized up to 180 days to evaluate reproductive tract toxicology.Results:The reproductive organ weights were markedly reduced,with testes severely atrophied in group B,pea-sized and stony hard in group C,and moderately reduced in group D.Azoospermia was evident in groups B and C,while sperm concentration was reduced to<1 million/mL with zero sperm motility in group D.Rats of groups B and C failed to show mounting and copulatory behaviour.A completely disorganized mesh of cellular elements was observed in the seminiferous tubules of group B,while pyknotic germ cell and arrest of spermatogenesis,exfoliated germ cells,occasional syncytial bodies and smaller Leydig cells were evident in groups C and D.Significantly reduced testosterone levels,increased luteinizing hormone(LH)and follicle-stimulating hormone(FSH)levels,returned to normal after 90 days in group D.Conclusions:Zinc gluconate and CaCl_(2)injections severely affected the reproductive organs and libido and rats treated with CdCl_(2)exhibited diminished spermatogenesis with normal libido.Thus,the need-based selection of intratesticular agents should consider their distinct effects on spermatogenesis,libido,and hormonal balance for achieving targeted sterilization outcomes.展开更多
In this study,three specific scenarios of a novel accelerator light source mechanism called steady-state microbunching(SSMB)were studied:longitudinal weak focusing,longitudinal strong focusing,and generalized longitud...In this study,three specific scenarios of a novel accelerator light source mechanism called steady-state microbunching(SSMB)were studied:longitudinal weak focusing,longitudinal strong focusing,and generalized longitudinal strong focusing(GLSF).At present,GLSF is the most promising method for realizing high-power short-wavelength coherent radiation with mild requirements on modulation laser power.Its essence is to exploit the ultrasmall natural vertical emittance of an electron beam in a planar storage ring for efficient microbunching formation,like a partial transverse-longitudinal emittance exchange in the optical laser wavelength range.Based on an in-depth investigation of related beam physics,a solution for a GLSF SSMB storage ring that can deliver 1 kW average-power EUV light is presented.The work in this paper,such as the generalized Courant–Snyder formalism,analysis of theoretical minimum emittances,transverse-longitudinal coupling dynamics,and derivation of the bunching factor and modulation strengths for laser-induced microbunching schemes,is expected to be useful not only for the development of SSMB but also for future accelerator light sources in general that demand increasingly precise electron beam phase space manipulations.展开更多
The development of catalytic multicomponent reactions for constructing complex organic scaffolds from readily accessible commodity chemicals is a key pursuit in contemporary synthetic chemistry.Current methods for syn...The development of catalytic multicomponent reactions for constructing complex organic scaffolds from readily accessible commodity chemicals is a key pursuit in contemporary synthetic chemistry.Current methods for synthesizing thioesters primarily rely on the acylation of thiols,which produces substantial waste and requires malodorous,unstable sulfur sources.In this work,we introduce a photocatalyzed hydrogen transfer strategy that enables a three-component synthesis of thioesters using abundant primary alcohols,easily available alkenes and elemental sulfur under mild conditions.This protocol demonstrates broad applicability and high chemo-and regioselectivity for both primary alcohols and alkenes,highlighting the advantage and potential of photo-mediated hydrogen transfer in facilitating multicomponent reactions using primary alcohol and elemental sulfur feedstocks.展开更多
This study presents and verifies a hybrid methodology for reliable determination of parameters in structural rheological models(Zener,Burgers,and Maxwell)describing the viscoelastic behavior of polyurethane specimens ...This study presents and verifies a hybrid methodology for reliable determination of parameters in structural rheological models(Zener,Burgers,and Maxwell)describing the viscoelastic behavior of polyurethane specimens manufactured using extrusion-based 3D printing.Through comprehensive testing,including cyclic compression at strain rates ranging from 0.12 to 120 mm/min(0%-15%strain)and creep/relaxation experiments(10%-30%strain),the lumped parameters were independently determined using both analytical and numerical solutions of the models’differential equations,followed by cross-verification in additional experiments.Numerical solutions for creep and relaxation problems were obtained using finite element analysis,with the three-parameter Mooney-Rivlin model and Prony series employed to simulate elastic and viscous stress components,respectively.Energy dissipation per cycle was quantified during cyclic compression tests.The results demonstrate that all three models adequately describe material behavior within the 0%-15%strain range across various strain rates.Comparative analysis revealed the Burgers model’s superior performance in characterizing creep and stress relaxation at low strain levels.While Zener and Burgers model parameters from uniaxial compression showed limited applicability for energy dissipation calculations,the generalized Maxwell model effectively captured viscoelastic properties across different strain rates.Notably,parameters derived from creep tests provided a more universal assessment of dissipative properties due to optimization based on characteristic curve regions.Both parameter sets described polyurethane’s elastic-hysteretic behavior with approximately 20%error,proving significantly more accurate than the linear strain-time dependence hypothesis.Finite element analysis(FEA)complemented numerical modeling by demonstrating that while the generalized Maxwell model effectively describes initial rapid stress-strain changes,FEA provides superior characterization of steady-state processes.This computational approach yields more physically representative results compared to simplified analytical solutions,despite certain limitations in transient analysis.展开更多
基金Project supported by the Fundamental Research Funds for the Central Universities(No.2042025kf0052)。
文摘In molybdenum chemistry,the oxidative addition of o-quinone or 1,2-dicarbonyl compounds to molybdenum has been widely used in Mo-catalyzed C—C bond construction.The carbonyl oxidative addition to Mo(0)or Mo(Ⅱ)is the critical elementary reaction of molybdenum catalysis.However,the relevant density functional theory(DFT)studies are relatively scarce,especially regarding the rational selection of functionals.In this work,14 functionals were employed to investigate the Mo-catalyzed carbonyl oxidative addition step.A benchmark study was carried out to evaluate their performance in structure optimization and energy calculation.Analyses of mean absolute error(MAE)and mean squared error(MSE)indicated that the B3LYP-D3(BJ),TPSSh,and ωB97X-D functionals exhibited superior performance in structure optimization.Using the DLPNO-CCSD(T)functional as the reference,the M06,M06-L,and MN15-L functionals exhibited good performance for energy calculation based on the structures optimized using the B3LYP-D3(BJ)functional.In particular,MN15-L provided the best performance with the smallest MAE and MSE.
基金National Natural Science Foundation of China(12125509,11961141003,12275361,U2267205,12175152,12175121)National Key Research and Development Project(2022YFA1602301)Continuous-support Basic Scientific Research Project。
文摘To generate a neutron beam exhibiting a Maxwellian energy distribution with narrow emission angles for measuring the neutron capture reaction rates of the s-process nuclides,a monoenergetic 3.4 MeV proton beam produced by the tandem-accelerator in the China Institute of Atomic Energy was utilized.The proton beam was first transmitted through a 60.5μm aluminum foil and then impinged on a natural LiF target to produce neutron beam via^(7)Li(p,n)7Be reaction.The quasi-Gaussian energy distribution of protons in the LiF target resulted in neutron energy spectra that agreed with a Maxwellian energy distribution at kT=(22±2)keV,which was achieved by integrating neutrons detected within an emission angle of 65.0°±2.6°using a ^(6)Li glass detector positioned at 65°relative to the proton beam direction.The narrow angular spread of the Maxwelliandistributed neutron beam enables direct measurement of neutron capture cross-sections for most s-process nuclides,overcoming previous experimental limitations associated with broad angular distributions.
文摘The increasing global threat of water pollution demands advanced multilayer sensing technologies with efficacy to detect contaminants with high sensitivity and adaptability in complex aquatic environments.In this theoretical analysis,we investigated a novel multilayer surface plasmon resonance(SPR)system as an optical sensing platform to detect water pollutants and salinity concentrations.The proposed sensor comprised silver,barium borate(BBO),and black phosphorus(BP)layers on a Borokon 7(BK7)prism,which formed a tunable and highly responsive configuration under the Kretschmann geometry.It employed the transfer matrix method(TMM)and angular interrogation in the visible regime to evaluate reflectance spectra and key sensing parameters.The outcomes revealed that the sensor exhibited high sensitivity and selectivity for refractive index(RI)variations corresponding to polluted water samples,including sodium chloride(NaCl)concentrations.The system exhibited strong plasmonic coupling and interfacial interactions,yielding the maximum sensitivity(138.7°/RIU)and figure of merit(73.57 RIU^(-1))toward water samples with 4%NaCl and chemical contamination,respectively.At refractive index of 1.33 and 1.34,by varying the layers of BBO and BP,the maximum sensitivity achieved was 320°/RIU with six BBO layers and a monolayer of BP.These results demonstrated that the proposed SPR sensor configuration,which successfully differentiated between various water quality levels based on refractive index variations,had tremendous potential for next‐generation real‐time water quality monitoring.
基金supported by the National Key Research and Development Program of China(Grant Nos.2022YFF0801400 and 2021YFF0704002)the Shandong Provincial Natural Science Foundation(Grant No.ZR2024LQX002)the National Science Foundation of China(Grant No.42176016).
文摘The Yellow Sea and Bohai Sea are among the global shelf seas susceptible to typhoons every year.Using observations and high-resolution numerical simulations,the current study investigates the dramatic changes in temperature and ocean heat content(OHC)of the Yellow Sea and Bohai Sea caused by Super Typhoon Maysak in early September 2020,which is representative of northward/northeastward-bypassing typhoons with centers just to the east of the study area.Temperature shows spatially coherent cooling in the upper mixed layer but warming in the subsurface layer in the majority of the offshore waters,due to wind-enhanced vertical mixing.In lower layers from the thermocline to sea bottom,temperature experiences significant warming in northeastern coastal waters of the Shandong Peninsula and in regions just off the Subei Shoal,but significant cooling in western coastal waters of the Korean Peninsula and southern coastal waters of the Shandong Peninsula.Significant temperature warming/cooling in lower layers is caused by coastal downwelling/upwelling.The total OHC of the study area decreases rapidly during Typhoon Maysak(2020)’s passage,which is generated comparably by latent heat loss at the sea surface and southward heat advection out of the study area at the southern boundary.Reduced shortwave radiation contributes positively but secondarily to the decreasing OHC during the first day.A numerical experiment suggests that Typhoon Maysak(2020)-induced OHC decline could have greatly affected the regional climate evolution in the following seasons.More studies are needed to fully understand the impacts of typhoons on regional climate changes in shelf seas at different time scales.
基金supported by grants from the Zhejiang Provincial Natural Science Foundation(LGJ22H180001)Zhejiang Medical and Health Science and Technology Project(2021KY249)the National Key R&D Program of China(2017YFC1310000).
文摘Attempts have been made to modulate motor sequence learning(MSL)through repetitive transcranial magnetic stimulation,targeting different sites within the sensorimotor network.However,the target with the optimum modulatory effect on neural plasticity associated with MSL remains unclarified.This study was therefore designed to compare the role of the left primary motor cortex and the left supplementary motor area proper(SMAp)in modulating MSL across different complexity levels and for both hands,as well as the associated neuroplasticity by applying intermittent theta burst stimulation together with the electroencephalogram and concurrent transcranial magnetic stimulation.Our data demonstrated the role of SMAp stimulation in modulating neural communication to support MSL,which is achieved by facilitating regional activation and orchestrating neural coupling across distributed brain regions,particularly in interhemispheric connections.These findings may have important clinical implications,particularly for motor rehabilitation in populations such as post-stroke patients.
基金Supported by the Natural Science Foundation of Sichuan Province(2023NSFSC1172).
文摘The"Talk to the Plants"course,as an interdisciplinary integrated teaching innovation practice course,aims to break through the knowledge-imparting model of traditional botany education.It establishes a profound interactive bridge between humans and plants,cultivating students'ecological awareness,scientific literacy,and humanistic values.With life education at its core,the course integrates multidisciplinary knowledge from botany,ecology,psychology,and arts.Leveraging modern technologies including VR/AR and sensor monitoring,it creates immersive learning environments that guide students to engage with plants through scientific inquiry,emotional empathy,and artistic expression.This exploration establishes a new paradigm for developing well-rounded talents in ecological civilization while offering both theoretical insights and practical models for interdisciplinary curriculum reform in the new era,demonstrating significant value in educational innovation.
基金supported by the National Key Research and Development Program of China(Grant No.2023YFA1407001)the Department of Science and Technology of Jiangsu Province(Grant No.BK20220032)+1 种基金support from the Guang Dong Basic and Applied Basic Research Foundation(Grant No.2023A1515010365)support from the Postgraduate Research and Practice Innovation Program of Jiangsu Province under Grant No.KYCX25_1934。
文摘Heat dissipation highly relies on the thermal conductivity(κ)of materials.Materials with large bandgaps and signifcant atomic mass ratios,such as BAs,SiC,andθ-TaN,have attracted considerable attention due to their potential for achieving ultra-highκ,with BAs serving as a particularly representative example due to its unique combination of large bandgap and high thermal conductivity.In this paper,the efects of atomic mass modifcation on phonon bandgap andκare systematically investigated using a BAs model,accounting for both three-and four-phonon scattering processes.A 20%increase inκcan be obtained by substituting B,achieved through widening the phonon bandgap,which suppresses phonon scattering.Notably,the AAOO four-phonon scattering channel is more suppressed than the AAO three-phonon channel,leading to an increased phonon lifetime(τ).For As,κcan also be enhanced by 5%when replaced by lighter atoms,such as^(69)As,primarily due to the increased phonon group velocity(υ).We systematically clarify how atomic-mass-induced bandgap variations afectτ,υ,and thereforeκin wide-bandgap systems.Our work provides a specifc scheme for further improving the ultra-highκof materials with large bandgaps,which possesses great guiding signifcance.
基金supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant Nos.XDA 0380000 and 0380300).
文摘A droplet generator is one of a key module for realizing the Sn-LPP EUV light source.One way of improving a conversion efficiency(CE)and relax tin contamination issue of Sn-LPP EUV light source is to produce tin droplet targets with suitable size.Less than several 10-μm nozzles are used to generate tin droplets.Particles from environment and chemical reaction compounds with high temperature tin cause nozzle clogging issue often.It is significant to develop a technical approach using a large diameter nozzle to produce mass-limited targets.Therefore,this paper demonstrated droplet ejection experiments based on electrohydrodynamics(EHD).Characteristics of isopropanol(IPA)droplet ejection by EHD droplet production platform that was designed and constructed in our laboratory.Characteristics of various process parameters on the IPA droplet production process were investigated.Images of droplet formation process were observed by using a droplet observation system and analyzed by image analysis software.Consequently,the smallest IPA droplet with a diameter of 13μm could be produced using a nozzle with a diameter of 50μm.Additionally,the EHD method could make droplets from 13μm to 55μm with applying voltage from 5.5 kV to 2.5 kV.In the future,EHD will apply to make mass-limited tin droplet targets under vacuum and high-temperature conditions,in order to increase the CE and to decrease tin debris.
基金partly supported by grants from the Beijing Municipal Science and Technology Commission(No.Z221100007422008)。
文摘Objective:Allogeneic hematopoietic stem cell transplantation(allo-HSCT)is the only potentially curative method for treating myelodysplastic syndrome(MDS).Post-HSCT measurable residual disease(post-HSCT MRD)is associated with inferior transplant outcomes.In this prospective study,we aimed to investigate the prognostic value of post-HSCT MRD in relapse prediction in MDS.Methods:A total of 166 patients diagnosed with MDS were prospectively enrolled in this study.The KaplanMeier method was used to calculate the survival probabilities.Potential risk factors for outcomes after transplantation were evaluated through univariate and multivariate Cox regression models.Results:For patients with negative and positive post-HSCT MRD,the cumulative incidence of relapse(CIR)and disease-free survival(DFS)at 3 years were 5.9%and 69.6%(P<0.001)and 82.7%and 26.1%(P<0.001),respectively.In the multivariate analysis,post-HSCT MRD(HR=22.801,P<0.001)and Revised International Prognostic Scoring System(IPSS-R)risk stratification(HR=4.346,P=0.003)were independently correlated with relapse.A scoring system for relapse prediction was built based on post-HSCT MRD and IPSS-R stratification.The cumulative incidence of relapse at 3 years was 1.1%,15.8%,and 91.7%for patients with scores of 0,1,and 2,respectively(P<0.001).Conclusions:Our results demonstrated both post-HSCT MRD and IPSS-R scores were independent prognostic factors for OS,DFS,and relapse for MDS patients after allo-HSCT.The risk score system could better predict transplant outcomes and refine the risk stratification than alone in patients with MDS.
基金Project supported by the Hunan Provincial Natural Science Foundation(Grant Nos.2024JJ6190 and 2024JK2007-1)。
文摘Chemical short-range order(SRO),a phenomenon at the atomic scale resulting from inhomogeneities in the local chemical environment,is usually studied using machine learning force field-based molecular dynamics simulations due to the limitations of experimental methods.To promote the reliable application of machine potentials in high-entropy alloy simulations,first,this work uses NEP models trained on two different datasets to predict the SRO coefficients of NbMoTaW.The results show that within the same machine learning framework,there are significant differences in the prediction of SRO coefficients for the Nb-Nb atomic pair.Subsequently,this work predicts the SRO coefficients of NbMoTaW using the NEP model and the SNAP model,both of which are trained on the same dataset.The results reveal significant discrepancies in SRO predictions for like-element pairs(e.g.,Nb-Nb and W-W)between the two potentials,despite the identical training data.The findings of this study indicate that discrepancies in the prediction results of SRO coefficients can arise from either the same machine learning framework trained on different datasets or different learning frameworks trained on the same dataset.This reflects possible incompleteness in the current training set's coverage of local chemical environments at the atomic scale.Future research should establish unified evaluation standards to assess the capability of training sets to accurately describe complex atomic-scale behaviors such as SRO.
基金supported by the National Natural Science Foundation of China(52350410465)the General Projects of Guangdong Natural Science Research Projects(2023A1515011520).
文摘Accurate daily suspended sediment load(SSL)prediction is essential for sustainable water resource management,sediment control,and environmental planning.However,SSL prediction is highly complex due to its nonlinear and dynamic nature,making traditional empirical models inadequate.This study proposes a novel hybrid approach,integrating the Adaptive Neuro-Fuzzy Inference System(ANFIS)with the Gradient-Based Optimizer(GBO),to enhance SSL forecasting accuracy.The research compares the performance of ANFIS-GBO with three alternative models:standard ANFIS,ANFIS with Particle Swarm Optimization(ANFIS-PSO),and ANFIS with Grey Wolf Optimization(ANFIS-GWO).Historical SSL and streamflow data from the Bailong River Basin,China,are used to train and validate the models.The input selection process is optimized using the Multivariate Adaptive Regression Splines(MARS)method.Model performance is evaluated using statistical metrics such as Root Mean Square Error(RMSE),Mean Absolute Error(MAE),Mean Absolute Percentage Error(MAPE),Nash Sutcliffe Efficiency(NSE),and Determination Coefficient(R^(2)).Additionally,visual assessments,including scatter plots,Taylor diagrams,and violin plots,provide further insights into model reliability.The results indicate that including historical SSL data improves predictive accuracy,with ANFIS-GBO outperforming the other models.ANFIS-GBO achieves the lowest RMSE and MAE and the highest NSE and R^(2),demonstrating its superior learning ability and adaptability.The findings highlight the effectiveness of nature-inspired optimization algorithms in enhancing sediment load forecasting and contribute to the advancement of AI-based hydrological modeling.Future research should explore the integration of additional environmental and climatic variables to enhance predictive capabilities further.
文摘The increasing global adoption of electric vehicles(EVs)has led to a growing demand for a cost-effective and reliable charging infrastructure.This study presents a novel data-driven approach to assessing EV station performance by analyzing power consumption efficiency,station utilization rates,no-power session occurrences,and CO_(2)reduction metrics.A dataset of 17,500 charging sessions from 305 stations across a regional network was analyzed to identify operational inefficiencies and opportunities for infrastructure optimization.Results indicate a strong correlation between station utilization and energy efficiency,highlighting the importance of strategic station placement.The findings also emphasize the impact of no-power sessions on network inefficiency and the need for real-time station monitoring.CO_(2)reduction analysis demonstrates that optimizing EV charging performance can significantly contribute to sustainability goals.Based on these insights,this study recommends the implementation of predictive maintenance strategies,real-time user notifications,and diversified provider networks to improve station availability and efficiency.The proposed data-driven framework offers actionable solutions for policymakers,charging network operators,and urban planners to enhance EV infrastructure reliability and sustainability.
文摘Quasi-two-dimensional(quasi-2d)perovskites are promising gain media for micro-nano lasers,yet their uncontrolled crystallization and abundant low-n phases often hinder optical gain and device performance.In this work,we introduce ethyl acetate(EA)as a green antisolvent to fabricate high-quality quasi-2D PEA_(0.4)MAPbBr_(3)films.The EA-treated films exhibit superior morphology,enhanced crystallinity,and notably inhibited low n-phases.These improvements yield a prolonged photoluminescence lifetime of 26.3 ns and a substantially extended gain lifetime of 129 ps.Consequently,the optimized film exhibits a markedly reduced amplified spontaneous emission(ASE)threshold of 5.6μJ·cm^(-2)and a high net modal gain of 935 cm^(-1).Leveraging these enhanced gain properties,we successfully demonstrate a vertical-cavity surface-emitting laser(VCSEL)based on a dielectric Bragg reflector microcavity,which delivers single-mode lasing at 528.3 nm and a high quality factor of~5886.This work presents a green-solvent-engineering strategy for high-performance perovskite lasers,advancing their prospects for scalable photonic integration.
基金supported by the National Natural Science Foundation of China(No.22077134)。
文摘new sesquiterpene-lactone,designated as neopentalenolactone D1(1),was isolated from the fermentation cultures of Streptomyces aureus SP-371,which is known for producing agricultural-bactericide aureonuclemycin.The chemical structure of compound 1 was determined to be a neopentapyrrole natural product with a 5/5/6 tricyclic skeleton and one amide functional group,by using spectroscopic techniques such as nuclear magnetic resonance(1D/2D NMR)and high-resolution mass spectrometry(HR-ESI-MS).Its structural information indicates that it is probably the shunt product of neopentalenolactone biosynthetic pathway.In antibacterial activity evaluations,compound 1 demonstrated no inhibitory effects against the tested strains including Escherichia coli(DH5a),Staphylococcus aureus,and Bacillus subtilis under the experimental conditions.
基金Supported by the National key research and development program in the 14th five year plan 2021YFA1200700)the National Natural Science Foundation of China(62535018,62431025,62561160113)the Natural Science Foundation of Shanghai(23ZR1473400).
文摘Near-infrared image sensors are widely used in fields such as material identification,machine vision,and autonomous driving.Lead sulfide colloidal quantum dot-based infrared photodiodes can be integrated with sil⁃icon-based readout circuits in a single step.Based on this,we propose a photodiode based on an n-i-p structure,which removes the buffer layer and further simplifies the manufacturing process of quantum dot image sensors,thus reducing manufacturing costs.Additionally,for the noise complexity in quantum dot image sensors when capturing images,traditional denoising and non-uniformity methods often do not achieve optimal denoising re⁃sults.For the noise and stripe-type non-uniformity commonly encountered in infrared quantum dot detector imag⁃es,a network architecture has been developed that incorporates multiple key modules.This network combines channel attention and spatial attention mechanisms,dynamically adjusting the importance of feature maps to en⁃hance the ability to distinguish between noise and details.Meanwhile,the residual dense feature fusion module further improves the network's ability to process complex image structures through hierarchical feature extraction and fusion.Furthermore,the pyramid pooling module effectively captures information at different scales,improv⁃ing the network's multi-scale feature representation ability.Through the collaborative effect of these modules,the network can better handle various mixed noise and image non-uniformity issues.Experimental results show that it outperforms the traditional U-Net network in denoising and image correction tasks.
文摘The Kibble-Zurek (KZ) effect offers an overarching description of dynamical scaling behavior near a critical point.[1,2] Originally proposed in a classical setup,the KZ effect has been generalized to quantum phase transitions[3-5] and is actively explored on quantum simulation platforms.[6-9] Exploring how the KZ effect fares across different criticalities has proven to be a rewarding pursuit,significantly enriching our understanding of nonequilibrium quantum dynamics.[3-5,10-23]
基金financially assisted to Timanshi Chansoriya of the fellowship grant of UGC-NFPwD,New Delhi sanctioned vide UGC F.No.01-01/2019-Sch dated 06.11.2020(Serial No.352 ID:NFPWD-2018-20-UTP-6522).
文摘Objective:To investigate the sterilizing potential of zinc gluconate,calcium chloride(CaCl_(2))and cadmium chloride(CdCl_(2))following a single intratesticular administration in adult male rats.Methods:60 adult male Wistar albino rats(Rattus norvegicus)weighing 160-200 g and aged 5-6 months randomly received a single intratesticular injection of normal saline(Group A),zinc gluconate 13.3 mg/mL plus L-Arginine(Group B),20%CaCl_(2)(Group C),and CdCl_(2)0.5 mg/kg body weight plus ethylenediaminetetraacetic acid(EDTA)(Group D),respectively,along the entire route from the caudoventral aspect of each testis.They were euthanized up to 180 days to evaluate reproductive tract toxicology.Results:The reproductive organ weights were markedly reduced,with testes severely atrophied in group B,pea-sized and stony hard in group C,and moderately reduced in group D.Azoospermia was evident in groups B and C,while sperm concentration was reduced to<1 million/mL with zero sperm motility in group D.Rats of groups B and C failed to show mounting and copulatory behaviour.A completely disorganized mesh of cellular elements was observed in the seminiferous tubules of group B,while pyknotic germ cell and arrest of spermatogenesis,exfoliated germ cells,occasional syncytial bodies and smaller Leydig cells were evident in groups C and D.Significantly reduced testosterone levels,increased luteinizing hormone(LH)and follicle-stimulating hormone(FSH)levels,returned to normal after 90 days in group D.Conclusions:Zinc gluconate and CaCl_(2)injections severely affected the reproductive organs and libido and rats treated with CdCl_(2)exhibited diminished spermatogenesis with normal libido.Thus,the need-based selection of intratesticular agents should consider their distinct effects on spermatogenesis,libido,and hormonal balance for achieving targeted sterilization outcomes.
基金supported by the National Key Research and Development Program of China(No.2022YFA1603401)National Natural Science Foundation of China(Nos.12035010 and 12342501)+1 种基金Beijing Outstanding Young Scientist Program(No.JWZQ20240101006)the Tsinghua University Dushi Program.
文摘In this study,three specific scenarios of a novel accelerator light source mechanism called steady-state microbunching(SSMB)were studied:longitudinal weak focusing,longitudinal strong focusing,and generalized longitudinal strong focusing(GLSF).At present,GLSF is the most promising method for realizing high-power short-wavelength coherent radiation with mild requirements on modulation laser power.Its essence is to exploit the ultrasmall natural vertical emittance of an electron beam in a planar storage ring for efficient microbunching formation,like a partial transverse-longitudinal emittance exchange in the optical laser wavelength range.Based on an in-depth investigation of related beam physics,a solution for a GLSF SSMB storage ring that can deliver 1 kW average-power EUV light is presented.The work in this paper,such as the generalized Courant–Snyder formalism,analysis of theoretical minimum emittances,transverse-longitudinal coupling dynamics,and derivation of the bunching factor and modulation strengths for laser-induced microbunching schemes,is expected to be useful not only for the development of SSMB but also for future accelerator light sources in general that demand increasingly precise electron beam phase space manipulations.
基金National Natural Science Foundation of China (Nos.22071185 and 22271224)the Fundamental Research Funds for the Central Universities (No.2042019kf0008)Wuhan University startup funding for financial support。
文摘The development of catalytic multicomponent reactions for constructing complex organic scaffolds from readily accessible commodity chemicals is a key pursuit in contemporary synthetic chemistry.Current methods for synthesizing thioesters primarily rely on the acylation of thiols,which produces substantial waste and requires malodorous,unstable sulfur sources.In this work,we introduce a photocatalyzed hydrogen transfer strategy that enables a three-component synthesis of thioesters using abundant primary alcohols,easily available alkenes and elemental sulfur under mild conditions.This protocol demonstrates broad applicability and high chemo-and regioselectivity for both primary alcohols and alkenes,highlighting the advantage and potential of photo-mediated hydrogen transfer in facilitating multicomponent reactions using primary alcohol and elemental sulfur feedstocks.
文摘This study presents and verifies a hybrid methodology for reliable determination of parameters in structural rheological models(Zener,Burgers,and Maxwell)describing the viscoelastic behavior of polyurethane specimens manufactured using extrusion-based 3D printing.Through comprehensive testing,including cyclic compression at strain rates ranging from 0.12 to 120 mm/min(0%-15%strain)and creep/relaxation experiments(10%-30%strain),the lumped parameters were independently determined using both analytical and numerical solutions of the models’differential equations,followed by cross-verification in additional experiments.Numerical solutions for creep and relaxation problems were obtained using finite element analysis,with the three-parameter Mooney-Rivlin model and Prony series employed to simulate elastic and viscous stress components,respectively.Energy dissipation per cycle was quantified during cyclic compression tests.The results demonstrate that all three models adequately describe material behavior within the 0%-15%strain range across various strain rates.Comparative analysis revealed the Burgers model’s superior performance in characterizing creep and stress relaxation at low strain levels.While Zener and Burgers model parameters from uniaxial compression showed limited applicability for energy dissipation calculations,the generalized Maxwell model effectively captured viscoelastic properties across different strain rates.Notably,parameters derived from creep tests provided a more universal assessment of dissipative properties due to optimization based on characteristic curve regions.Both parameter sets described polyurethane’s elastic-hysteretic behavior with approximately 20%error,proving significantly more accurate than the linear strain-time dependence hypothesis.Finite element analysis(FEA)complemented numerical modeling by demonstrating that while the generalized Maxwell model effectively describes initial rapid stress-strain changes,FEA provides superior characterization of steady-state processes.This computational approach yields more physically representative results compared to simplified analytical solutions,despite certain limitations in transient analysis.
