With the approaching of large-scale retirement of power lithium-ion batteries(LIBs),their urgent handling is required for environmental protection and resource reutilization.However,at present,substantial spent power ...With the approaching of large-scale retirement of power lithium-ion batteries(LIBs),their urgent handling is required for environmental protection and resource reutilization.However,at present,substantial spent power batteries,especially for those high recovery value cathode materials,have not been greenly,sustainably,and efficiently recycled.Compared to the traditional recovery method for cathode materials with high energy consumption and severe secondary pollution,the direct repair regeneration,as a new type of short-process and efficient treatment methods,has attracted widespread attention.However,it still faces challenges in homogenization repair,electrochemical performance decline,and scaling-up production.To promote the direct regeneration technology development of failed NCM materials,herein we deeply discuss the failure mechanism of nickel-cobalt-manganese(NCM)ternary cathode materials,including element loss,Li/Ni mixing,phase transformation,structural defects,oxygen release,and surface degradation and reconstruction.Based on this,the detailed analysis and summary of the direct regeneration method embracing solid-phase sintering,eutectic salt assistance,solvothermal synthesis,sol-gel process,spray drying,and redox mediation are provided.Further,the upcycling strategy for regeneration materials,such as single-crystallization and high-nickelization,structural regulation,ion doping,and surface engineering,are discussed in deep.Finally,the challenges faced by the direct regeneration and corresponding countermeasures are pointed out.Undoubtedly,this review provides valuable guidance for the efficient and high-value recovery of failed cathode materials.展开更多
As the proportion of composite materials used in aircraft continues to increase, the electromagnetic Shielding Effectiveness (SE) of these materials becomes a critical factor in the electromagnetic safety design of ai...As the proportion of composite materials used in aircraft continues to increase, the electromagnetic Shielding Effectiveness (SE) of these materials becomes a critical factor in the electromagnetic safety design of aircraft structures. The assessment of electromagnetic SE for Slotted Composite Structures(SCSs) is particularly challenging due to their complex geometries and there remains a lack of suitable models for accurately predicting the SE performance of these intricate configurations. To address this issue, this paper introduces SCS-Net, a Deep Neural Network (DNN) method designed to accurately predict the SE of SCS. This method considers the impacts of various structural parameters, material properties and incident wave parameters on the SE of SCSs. In order to better model the SCS, an improved Nicolson-Ross-Weir (NRW) method is introduced in this paper to provide an equivalent flat structure for the SCS and to calculate the electromagnetic parameters of the equivalent structure. Additionally, the prediction of SE via DNNs is limited by insufficient test data, which hinders support for large-sample training. To address the issue of limited measured data, this paper develops a Measurement-Computation Fusion (MCF) dataset construction method. The predictions based on the simulation results show that the proposed method maintains an error of less than 0.07 dB within the 8–10 GHz frequency range. Furthermore, a new loss function based on the weighted L1-norm is established to improve the prediction accuracy for these parameters. Compared with traditional loss functions, the new loss function reduces the maximum prediction error for equivalent electromagnetic parameters by 47%. This method significantly improves the prediction accuracy of SCS-Net for measured data, with a maximum improvement of 23.88%. These findings demonstrate that the proposed method enables precise SE prediction and design for composite structures while reducing the number of test samples needed.展开更多
This article focuses on how digital inclusive finance empowers the development of Liaoning’s marine economy.The research shows that while digital inclusive finance in Liaoning Province has grown rapidly in recent yea...This article focuses on how digital inclusive finance empowers the development of Liaoning’s marine economy.The research shows that while digital inclusive finance in Liaoning Province has grown rapidly in recent years,it still faces shortcomings in usage depth and coverage breadth.At present,digital inclusive finance has a significant empowering effect on Liaoning’s marine economy,but challenges remain,including insufficient coverage and limited application of infrastructure,imperfect data governance and risk control systems for the marine economy,and a mismatch between digital financial products and the needs of the marine industry.To address these issues,the article proposes optimized pathways for digital inclusive finance to support Liaoning’s marine economy:improving digital financial infrastructure to enhance service accessibility and efficiency;strengthening marine economic data governance to build an intelligent risk control system;innovating digital financial products to better align with industrial demands.展开更多
The rapid and accurate identification of biological tissue types in resected specimens is critical to ensure complete tumor excision during surgery.By leveraging inherent electromagnetic property variations among tiss...The rapid and accurate identification of biological tissue types in resected specimens is critical to ensure complete tumor excision during surgery.By leveraging inherent electromagnetic property variations among tissues,this study presents a novel dual-port electromagnetic method that employs two-port S-parameters for quantitative tissue discrimination.The proposed technology leverages differences in the broadband electromagnetic properties among biological tissues,which are manifested as distinct attenu-ation characteristics during signal transmission.This approach allows for the successful differentiation of various tissue types,such as skin,muscle,fat,and tumor tissues,in ex vivo tumor-bearing mouse models.Specifically designed for biological tissue detection,this dual-port framework is the first to achieve a calibration-free operation and facilitate the detection of tumors with a size as small as 0.1 mm.Experimental validation in tumor-bearing mouse models demonstrated robust differentiation among skin,fat,muscle,and tumor tissues.Consistent measurements across multiple orientations were achieved,with a specific absorption rate below 0.0091 W/kg confirming operational safety.The transmission characteristics reveal significant bioelectromagnetic interactions,providing physical insights into tissue dielectric properties.This method provides a promising platform for clinical diagnostics and precision surgical guidance.展开更多
Detection noise significantly degrades the quality of structured illumination microscopy(SIM)images,especially under low-light conditions.Although supervised learning based denoising methods have shown prominent advan...Detection noise significantly degrades the quality of structured illumination microscopy(SIM)images,especially under low-light conditions.Although supervised learning based denoising methods have shown prominent advances in eliminating the noise-induced artifacts,the requirement of a large amount of high-quality training data severely limits their applications.Here we developed a pixel-realignmentbased self-supervised denoising framework for SIM(PRS-SIM)that trains an SIM image denoiser with only noisy data and substantially removes the reconstruction artifacts.We demonstrated that PRS-SIM generates artifact-free images with 20-fold less fluorescence than ordinary imaging conditions while achieving comparable super-resolution capability to the ground truth(GT).Moreover,we developed an easy-to-use plugin that enables both training and implementation of PRS-SIM for multimodal SIM platforms including 2D/3D and linear/nonlinear SIM.With PRS-SIM,we achieved longterm super-resolution live-cell imaging of various vulnerable bioprocesses,revealing the clustered distribution of Clathrin-coated pits and detailed interaction dynamics of multiple organelles and the cytoskeleton.展开更多
Antimony selenide(Sb_(2)Se_(3))has drawn tremendous research attentions in recent years as an environment-friendly and cost-efficient photovoltaic material.However,the intrinsic low carrier density and electrical cond...Antimony selenide(Sb_(2)Se_(3))has drawn tremendous research attentions in recent years as an environment-friendly and cost-efficient photovoltaic material.However,the intrinsic low carrier density and electrical conductivity limited its scope of applications.In this work,an effective ion doping strategy was implemented to improve the electrical and photoelectrical performances of Sb_(2)Se_(3) thin films.The Sn-doped and I-doped Sb_(2)Se_(3) thin films with controllable chemical composition can be prepared by magnetron sputtering combined with post-selenization treatment based on homemade plasma sintered targets.As a result,the Sn-doped Sb_(2)Se_(3) thin film exhibited a great increase in carrier density by several orders of magnitude,by contrast,a less increase with one order of magnitude was achieved for the Idoped Sb_(2)Se_(3) thin film.Additionally,such cation or anion doping could simultaneously modify the conduction type of Sb_(2)Se_(3),enabling the first fabrication of a substrate structured Sb_(2)Se_(3)-based quasihomojunction thin film solar cell with configuration of Mo/Sb_(2)Se_(3)-Sn/Sb_(2)Se_(3)-I/ITO/Ag.The obtained power conversion efficiency exceeding 2%undoubtedly demonstrated its attractive photovoltaic application potential and further investigation necessity.展开更多
基金financially supported by the National Key Research and Development Program of China(2023YFB3809300)。
文摘With the approaching of large-scale retirement of power lithium-ion batteries(LIBs),their urgent handling is required for environmental protection and resource reutilization.However,at present,substantial spent power batteries,especially for those high recovery value cathode materials,have not been greenly,sustainably,and efficiently recycled.Compared to the traditional recovery method for cathode materials with high energy consumption and severe secondary pollution,the direct repair regeneration,as a new type of short-process and efficient treatment methods,has attracted widespread attention.However,it still faces challenges in homogenization repair,electrochemical performance decline,and scaling-up production.To promote the direct regeneration technology development of failed NCM materials,herein we deeply discuss the failure mechanism of nickel-cobalt-manganese(NCM)ternary cathode materials,including element loss,Li/Ni mixing,phase transformation,structural defects,oxygen release,and surface degradation and reconstruction.Based on this,the detailed analysis and summary of the direct regeneration method embracing solid-phase sintering,eutectic salt assistance,solvothermal synthesis,sol-gel process,spray drying,and redox mediation are provided.Further,the upcycling strategy for regeneration materials,such as single-crystallization and high-nickelization,structural regulation,ion doping,and surface engineering,are discussed in deep.Finally,the challenges faced by the direct regeneration and corresponding countermeasures are pointed out.Undoubtedly,this review provides valuable guidance for the efficient and high-value recovery of failed cathode materials.
基金supported by the National Natural Science Foundation of China(Nos.62101020 and 62141405)the Special Scientific Research Project of Civil Aircraft,China(No.MJZ5-2N22).
文摘As the proportion of composite materials used in aircraft continues to increase, the electromagnetic Shielding Effectiveness (SE) of these materials becomes a critical factor in the electromagnetic safety design of aircraft structures. The assessment of electromagnetic SE for Slotted Composite Structures(SCSs) is particularly challenging due to their complex geometries and there remains a lack of suitable models for accurately predicting the SE performance of these intricate configurations. To address this issue, this paper introduces SCS-Net, a Deep Neural Network (DNN) method designed to accurately predict the SE of SCS. This method considers the impacts of various structural parameters, material properties and incident wave parameters on the SE of SCSs. In order to better model the SCS, an improved Nicolson-Ross-Weir (NRW) method is introduced in this paper to provide an equivalent flat structure for the SCS and to calculate the electromagnetic parameters of the equivalent structure. Additionally, the prediction of SE via DNNs is limited by insufficient test data, which hinders support for large-sample training. To address the issue of limited measured data, this paper develops a Measurement-Computation Fusion (MCF) dataset construction method. The predictions based on the simulation results show that the proposed method maintains an error of less than 0.07 dB within the 8–10 GHz frequency range. Furthermore, a new loss function based on the weighted L1-norm is established to improve the prediction accuracy for these parameters. Compared with traditional loss functions, the new loss function reduces the maximum prediction error for equivalent electromagnetic parameters by 47%. This method significantly improves the prediction accuracy of SCS-Net for measured data, with a maximum improvement of 23.88%. These findings demonstrate that the proposed method enables precise SE prediction and design for composite structures while reducing the number of test samples needed.
文摘This article focuses on how digital inclusive finance empowers the development of Liaoning’s marine economy.The research shows that while digital inclusive finance in Liaoning Province has grown rapidly in recent years,it still faces shortcomings in usage depth and coverage breadth.At present,digital inclusive finance has a significant empowering effect on Liaoning’s marine economy,but challenges remain,including insufficient coverage and limited application of infrastructure,imperfect data governance and risk control systems for the marine economy,and a mismatch between digital financial products and the needs of the marine industry.To address these issues,the article proposes optimized pathways for digital inclusive finance to support Liaoning’s marine economy:improving digital financial infrastructure to enhance service accessibility and efficiency;strengthening marine economic data governance to build an intelligent risk control system;innovating digital financial products to better align with industrial demands.
基金supported by the National Natural Science Foundation of China(Grant No.62476285)the Postdoctoral Fellowship Program of China Postdoctoral Science Foundation(Grant No.GZC20252693).
文摘The rapid and accurate identification of biological tissue types in resected specimens is critical to ensure complete tumor excision during surgery.By leveraging inherent electromagnetic property variations among tissues,this study presents a novel dual-port electromagnetic method that employs two-port S-parameters for quantitative tissue discrimination.The proposed technology leverages differences in the broadband electromagnetic properties among biological tissues,which are manifested as distinct attenu-ation characteristics during signal transmission.This approach allows for the successful differentiation of various tissue types,such as skin,muscle,fat,and tumor tissues,in ex vivo tumor-bearing mouse models.Specifically designed for biological tissue detection,this dual-port framework is the first to achieve a calibration-free operation and facilitate the detection of tumors with a size as small as 0.1 mm.Experimental validation in tumor-bearing mouse models demonstrated robust differentiation among skin,fat,muscle,and tumor tissues.Consistent measurements across multiple orientations were achieved,with a specific absorption rate below 0.0091 W/kg confirming operational safety.The transmission characteristics reveal significant bioelectromagnetic interactions,providing physical insights into tissue dielectric properties.This method provides a promising platform for clinical diagnostics and precision surgical guidance.
基金supported by the National Natural Science Foundation of China(31827802,32125024,62071271,62088102,and 62222508)Shuimu Tsinghua Scholar Program(2021SM039,2022SM035)+4 种基金China Postdoctoral Science Foundation(BX2021159,2022M721842)Beijing Natural Science Foundation(JQ21012)the Tencent Foundation through the XPLORER PRIZEthe Youth Innovation Promotion Association of the Chinese Academy of Sciences(2020094)the New Cornerstone Science Foundation.
文摘Detection noise significantly degrades the quality of structured illumination microscopy(SIM)images,especially under low-light conditions.Although supervised learning based denoising methods have shown prominent advances in eliminating the noise-induced artifacts,the requirement of a large amount of high-quality training data severely limits their applications.Here we developed a pixel-realignmentbased self-supervised denoising framework for SIM(PRS-SIM)that trains an SIM image denoiser with only noisy data and substantially removes the reconstruction artifacts.We demonstrated that PRS-SIM generates artifact-free images with 20-fold less fluorescence than ordinary imaging conditions while achieving comparable super-resolution capability to the ground truth(GT).Moreover,we developed an easy-to-use plugin that enables both training and implementation of PRS-SIM for multimodal SIM platforms including 2D/3D and linear/nonlinear SIM.With PRS-SIM,we achieved longterm super-resolution live-cell imaging of various vulnerable bioprocesses,revealing the clustered distribution of Clathrin-coated pits and detailed interaction dynamics of multiple organelles and the cytoskeleton.
基金supported by Natural Science Foundation of Guangdong Province(2020A1515010805)ChinaNational Natural Science Foundation of China(No.62074102)+1 种基金Key Project of Department of Education of Guangdong Province(No.2018KZDXM059)ChinaScience and Technology plan project of Shenzhen(JCYJ20190808153409238)China.
文摘Antimony selenide(Sb_(2)Se_(3))has drawn tremendous research attentions in recent years as an environment-friendly and cost-efficient photovoltaic material.However,the intrinsic low carrier density and electrical conductivity limited its scope of applications.In this work,an effective ion doping strategy was implemented to improve the electrical and photoelectrical performances of Sb_(2)Se_(3) thin films.The Sn-doped and I-doped Sb_(2)Se_(3) thin films with controllable chemical composition can be prepared by magnetron sputtering combined with post-selenization treatment based on homemade plasma sintered targets.As a result,the Sn-doped Sb_(2)Se_(3) thin film exhibited a great increase in carrier density by several orders of magnitude,by contrast,a less increase with one order of magnitude was achieved for the Idoped Sb_(2)Se_(3) thin film.Additionally,such cation or anion doping could simultaneously modify the conduction type of Sb_(2)Se_(3),enabling the first fabrication of a substrate structured Sb_(2)Se_(3)-based quasihomojunction thin film solar cell with configuration of Mo/Sb_(2)Se_(3)-Sn/Sb_(2)Se_(3)-I/ITO/Ag.The obtained power conversion efficiency exceeding 2%undoubtedly demonstrated its attractive photovoltaic application potential and further investigation necessity.
