With the help of skew-symmetric differential forms, the hidden properties of the mathematical physics equations that describe discrete quantum transitions and emergence the physical structures are investigated. It is ...With the help of skew-symmetric differential forms, the hidden properties of the mathematical physics equations that describe discrete quantum transitions and emergence the physical structures are investigated. It is shown that the mathematical physics equations possess a unique property. They can describe discrete quantum transitions, emergence of physical structures and occurrence observed formations. However, such a property possesses only equations on which no additional conditions, namely, the conditions of integrability, are imposed. The intergrability conditions are realized from the equations themselves. Just under realization of integrability conditions double solutions to the mathematical physics equations, which describe discrete transitions and so on, are obtained. The peculiarity consists in the fact that the integrability conditions do not directly follow from the mathematical physics equations;they are realized under the description of evolutionary process. The hidden properties of differential equations were discovered when studying the integrability of differential equations of mathematical physics that depends on the consistence between the derivatives in differential equations along different directions and on the consistence of equations in the set of equations. The results of this work were obtained with the help of skew-symmetric differential forms that possess a nontraditional mathematical apparatus such as nonidentical relations, degenerate transformations and the transition from nonintegrable manifolds to integrable structures. Such results show that mathematical physics equations can describe quantum processes.展开更多
Two experimental tests of three-storied reinforced concrete structural walls having large openings were performed.Based on an original macro model,a multiple modified macro-model was proposed to develop a simple metho...Two experimental tests of three-storied reinforced concrete structural walls having large openings were performed.Based on an original macro model,a multiple modified macro-model was proposed to develop a simple method to design a reinforced concrete structural wall with large openings and various opening locations.The interaction between reinforcement ties and concrete struts formed along the perimeter of openings was neglected in the original model.However,the strut-and-tie node was proposed to take account of such interaction in the proposed model.The predicted behavior of two specimens using such a proposed model was compared with the experimental results.It is shown that the behavior of structural walls with large openings could be modeled well using the proposed model.Moreover,the study indicates that the proposed model is applicable even in cases of multi-story structural walls having large openings and various opening locations.展开更多
The development of lithium-ion batteries with high-energy densities is substantially hampered by the graphite anode's low theoretical capacity(372 mAh g^(-1)).There is an urgent need to explore novel anode materia...The development of lithium-ion batteries with high-energy densities is substantially hampered by the graphite anode's low theoretical capacity(372 mAh g^(-1)).There is an urgent need to explore novel anode materials for lithium-ion batteries.Silicon(Si),the second-largest element outside of Earth,has an exceptionally high specific capacity(3579 mAh g^(-1)),regarded as an excellent choice for the anode material in high-capacity lithium-ion batteries.However,it is low intrinsic conductivity and volume amplification during service status,prevented it from developing further.These difficulties can be successfully overcome by incorporating carbon into pure Si systems to form a composite anode and constructing a buffer structure.This review looks at the diffusion mechanism,various silicon-based anode material configurations(including sandwich,core-shell,yolk-shell,and other 3D mesh/porous structures),as well as the appropriate binders and electrolytes.Finally,a summary and viewpoints are offered on the characteristics and structural layout of various structures,metal/non-metal doping,and the compatibility and application of various binders and electrolytes for silicon-based anodes.This review aims to provide valuable insights into the research and development of silicon-based carbon anodes for high-performance lithium-ion batteries,as well as their integration with binders and electrolyte.展开更多
The potential of 63 Wade–Mingos-type superhalogens to construct effective superacids via their composites with protons in both gas phase and solution was systematically explored by DFT calculations in this study.With...The potential of 63 Wade–Mingos-type superhalogens to construct effective superacids via their composites with protons in both gas phase and solution was systematically explored by DFT calculations in this study.With a few exceptions,all the composites prepared herein fulfilled the theoretical criterion for superacid and the predicted strongest acids were consistent with the experimental observations.Based on the analyses of various structural factors,both the increase in cage size and the introduction of electron-withdrawing substituents favor strong acidity.展开更多
Graphene grids exhibit exceptional loading capacity for macromolecules,single atoms,and nanoparticles,offering significant potential for exploring the structure and properties of various materials at the nanoscale.How...Graphene grids exhibit exceptional loading capacity for macromolecules,single atoms,and nanoparticles,offering significant potential for exploring the structure and properties of various materials at the nanoscale.However,challenges such as carbon film rupture,contamination,and uneven graphene film coverage frequently occur during grid fabrication.Here wepropose a dual-stage deep learning model integrating U-Net and an enhanced YOLO11 architecture,enabling efficient and accurate defect detection and graphene coverage quantification.A tailored data augmentation strategy expanded the initial defect dataset by more than an order of magnitude,which directly contributed to an overall 11.72%improvement across the model’s performance metrics.With the integration of the multi-scale convolutional attention(MSCA)module and the slicing-aided hyper inference(SAHI)method,the model achieved a 0.67%mean absolute percentage error(MAPE),while reducing the average detection time from 26.6 to 0.1 min per image.The proposed model holds strong potential for extension to various material characterization image analysis tasks,providing a scalable strategy for high-throughput image processing that bridges fundamental research with industrialscale applications.展开更多
文摘With the help of skew-symmetric differential forms, the hidden properties of the mathematical physics equations that describe discrete quantum transitions and emergence the physical structures are investigated. It is shown that the mathematical physics equations possess a unique property. They can describe discrete quantum transitions, emergence of physical structures and occurrence observed formations. However, such a property possesses only equations on which no additional conditions, namely, the conditions of integrability, are imposed. The intergrability conditions are realized from the equations themselves. Just under realization of integrability conditions double solutions to the mathematical physics equations, which describe discrete transitions and so on, are obtained. The peculiarity consists in the fact that the integrability conditions do not directly follow from the mathematical physics equations;they are realized under the description of evolutionary process. The hidden properties of differential equations were discovered when studying the integrability of differential equations of mathematical physics that depends on the consistence between the derivatives in differential equations along different directions and on the consistence of equations in the set of equations. The results of this work were obtained with the help of skew-symmetric differential forms that possess a nontraditional mathematical apparatus such as nonidentical relations, degenerate transformations and the transition from nonintegrable manifolds to integrable structures. Such results show that mathematical physics equations can describe quantum processes.
基金Project supported by the Grants-in-Aid for Scientific Research of Japan (No. 16206056)the Scientific Research Foundation for Talent Introduction (No. 113201-811132)
文摘Two experimental tests of three-storied reinforced concrete structural walls having large openings were performed.Based on an original macro model,a multiple modified macro-model was proposed to develop a simple method to design a reinforced concrete structural wall with large openings and various opening locations.The interaction between reinforcement ties and concrete struts formed along the perimeter of openings was neglected in the original model.However,the strut-and-tie node was proposed to take account of such interaction in the proposed model.The predicted behavior of two specimens using such a proposed model was compared with the experimental results.It is shown that the behavior of structural walls with large openings could be modeled well using the proposed model.Moreover,the study indicates that the proposed model is applicable even in cases of multi-story structural walls having large openings and various opening locations.
基金supported by National Natural Science Foundation of China(No.22205182)National Science Fund for Distinguished Young Scholars(No.52025034)+2 种基金China Postdoctoral Science Foundation(Nos.2022M722594/2024T171170)Guangdong Basic and Applied Basic Research Foundation(No.2024A1515011516)financially supported by Innovation Team of Shaanxi Sanqin Scholars。
文摘The development of lithium-ion batteries with high-energy densities is substantially hampered by the graphite anode's low theoretical capacity(372 mAh g^(-1)).There is an urgent need to explore novel anode materials for lithium-ion batteries.Silicon(Si),the second-largest element outside of Earth,has an exceptionally high specific capacity(3579 mAh g^(-1)),regarded as an excellent choice for the anode material in high-capacity lithium-ion batteries.However,it is low intrinsic conductivity and volume amplification during service status,prevented it from developing further.These difficulties can be successfully overcome by incorporating carbon into pure Si systems to form a composite anode and constructing a buffer structure.This review looks at the diffusion mechanism,various silicon-based anode material configurations(including sandwich,core-shell,yolk-shell,and other 3D mesh/porous structures),as well as the appropriate binders and electrolytes.Finally,a summary and viewpoints are offered on the characteristics and structural layout of various structures,metal/non-metal doping,and the compatibility and application of various binders and electrolytes for silicon-based anodes.This review aims to provide valuable insights into the research and development of silicon-based carbon anodes for high-performance lithium-ion batteries,as well as their integration with binders and electrolyte.
基金supported by the National Natural Science Foundation of China(No.21103137,21572177 and 21673173)Natural Science Foundation of Shaanxi Province(No.2016JQ2038)+2 种基金Northwest University Science Foundation for Postgraduate Students(No.YZZ17117,YZZ17120)Y.B.is grateful to the“Excellent Young Scholar Plan”of Northwest University for a fellowship grant(No.338050094)W.-H.X.thanks the Education Department of Shaanxi Provincial Government for financial support(No.15JK1749).
文摘The potential of 63 Wade–Mingos-type superhalogens to construct effective superacids via their composites with protons in both gas phase and solution was systematically explored by DFT calculations in this study.With a few exceptions,all the composites prepared herein fulfilled the theoretical criterion for superacid and the predicted strongest acids were consistent with the experimental observations.Based on the analyses of various structural factors,both the increase in cage size and the introduction of electron-withdrawing substituents favor strong acidity.
基金supported by National Key Research and Development Program of China(2024YFB4709300)the National Natural Science Foundation of China(No.52130501,52505289)+1 种基金Zhejiang provincial teams of leading talents in Innovation and Entrepreneurship(2024R01002)Guizhou Provincial Science and Technology Projects(XKBF[2025]014,BQW[2024]010).
文摘Graphene grids exhibit exceptional loading capacity for macromolecules,single atoms,and nanoparticles,offering significant potential for exploring the structure and properties of various materials at the nanoscale.However,challenges such as carbon film rupture,contamination,and uneven graphene film coverage frequently occur during grid fabrication.Here wepropose a dual-stage deep learning model integrating U-Net and an enhanced YOLO11 architecture,enabling efficient and accurate defect detection and graphene coverage quantification.A tailored data augmentation strategy expanded the initial defect dataset by more than an order of magnitude,which directly contributed to an overall 11.72%improvement across the model’s performance metrics.With the integration of the multi-scale convolutional attention(MSCA)module and the slicing-aided hyper inference(SAHI)method,the model achieved a 0.67%mean absolute percentage error(MAPE),while reducing the average detection time from 26.6 to 0.1 min per image.The proposed model holds strong potential for extension to various material characterization image analysis tasks,providing a scalable strategy for high-throughput image processing that bridges fundamental research with industrialscale applications.
