检索结果-内蒙古大学图书馆

SSRN 2022年

作者： Chen, Lei Daniel, Enobong Felix Wang, Changgang Liu, Chen Li, Chao Ma, Chaojiang Wu, Liping Bian, Guixue Chen, Shaofeng Ma, Rongyao Dong, Junhua Chen, Yiqing School of Materials Science and Engineering University of Science and Technology of China Shenyang110016 China Shenyang National Laboratory for Materials Science Institute of Metal Research Chinese Academy of Sciences Shenyang110016 China Naval Aviation University Qingdao Campus Qingdao266041 China Shi-changxu Innovation Center for Advanced Materials Institute of Metal Research Chinese Academy of Sciences Shenyang110016 China State Key Laboratory of Metal Material for Marine Equipment and Application Anshan114009 China

The galvanic corrosion behavior of Cu-Fe-Zn trimetallic couple and its factors were investigated in acidic chloride solution using electrochemical and numerical methods. Results demonstrated that the potential difference of galvanic couple reflects only the thermodynamic tendency of galvanic corrosion, while the cathodic kinetic process controls the galvanic corrosion rate. It is found that the galvanic effect between Cu and Zn is much less than that between Zn and Fe when ohmically coupled. This is opposite to the theory of galvanic series. Despite possessing the maximum corrosion potential difference as the driving force, the galvanic current of Zn-Cu couple was less than that of Zn-Fe couple with equal area ratio. This drove the intermediate metal (Fe) to act as the main cathode in Cu-Fe-Zn trimetallic couple. Furthermore, it is found that Fe can be transformed into the anode due to the area change of Cu. The electrochemical experimental results are in good agreement with the FEM, suggesting that this method can accurately predict the galvanic corrosion behavior of multielectrode systems. © 2022, The Authors. All rights reserved.

关键词： Galvanic corrosion

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DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials

arXiv

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arXiv 2025年

作者： Zeng, Jinzhe Zhang, Duo Peng, Anyang Zhang, Xiangyu He, Sensen Wang, Yan Liu, Xinzijian Bi, Hangrui Li, Yifan Cai, Chun Zhang, Chengqian Du, Yiming Zhu, Jia-Xin Mo, Pinghui Huang, Zhengtao Zeng, Qiyu Shi, Shaochen Qin, Xuejian Yu, Zhaoxi Luo, Chenxing Ding, Ye Liu, Yun-Pei Shi, Ruosong Wang, Zhenyu Bore, Sigbjørn Løland Chang, Junhan Deng, Zhe Ding, Zhaohan Han, Siyuan Jiang, Wanrun Ke, Guolin Liu, Zhaoqing Lu, Denghui Muraoka, Koki Oliaei, Hananeh Singh, Anurag Kumar Que, Haohui Xu, Weihong Xu, Zhangmancang Zhuang, Yong-Bin Dai, Jiayu Giese, Timothy J. Jia, Weile Xu, Ben York, Darrin M. Zhang, Linfeng Wang, Han School of Artificial Intelligence and Data Science Unversity of Science and Technology of China Hefei China AI for Science Institute Beijing100080 China DP Technology Beijing100080 China Academy for Advanced Interdisciplinary Studies Peking University Beijing100871 China State Key Lab of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing100871 China University of Chinese Academy of Sciences Beijing China Baidu Inc. Beijing China Department of Computer Science University of Toronto TorontoON Canada Department of Chemistry Princeton University PrincetonNJ08540 United States University of Chinese Academy of Sciences Beijing100871 China State Key Laboratory of Physical Chemistry of Solid Surfaces iChEM College of Chemistry and Chemical Engineering Xiamen University Xiamen361005 China College of Integrated Circuits Hunan University Changsha410082 China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Center for Smart Materials and Device Integration School of Material Science and Engineering Wuhan University of Technology Wuhan430070 China College of Science National University of Defense Technology Changsha410073 China Hunan Key Laboratory of Extreme Matter and Applications National University of Defense Technology Changsha410073 China ByteDance Research Beijing100098 China Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo315201 China College of Materials Science and Opto-Electronic Technology University of Chinese Academy of Sciences Beijing100049 China Key Laboratory of Theoretical and Computational Photochemistry of Ministry of Education College of Chemistry Beijing Normal University Beijing100875 China Department of Geosciences Princeton University PrincetonNJ08544 United States Department of Applied Physics and Applied Mathematics Columbia University New YorkNY10027 United States IKKEM Fujian Xiamen361005 China Graduate

In recent years, machine learning potentials (MLPs) have become indispensable tools in physics, chemistry, and materials science, driving the development of software packages for molecular dynamics (MD) simulations and related applications. These packages, typically built on specific machine learning frameworks such as TensorFlow, PyTorch, or JAX, face integration challenges when advanced applications demand communication across different frameworks. The previous TensorFlow-based implementation of DeePMD-kit exemplified these limitations. In this work, we introduce DeePMD-kit version 3, a significant update featuring a multi-backend framework that supports TensorFlow, PyTorch, JAX, and PaddlePaddle backends, and demonstrate the versatility of this architecture through the integration of other MLPs packages and of Differentiable Molecular Force Field. This architecture allows seamless backend switching with minimal modifications, enabling users and developers to integrate DeePMD-kit with other packages using different machine learning frameworks. This innovation facilitates the development of more complex and interoperable workflows, paving the way for broader applications of MLPs in scientific research. Copyright © 2025, The Authors. All rights reserved.

关键词： Molecular dynamics

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Experimental research on the mechanism of non-monotonic characteristic between curing temperature and mechanical behaviors of Kevlar/epoxy composite

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Science China(Technological Sciences) 2018年第7期61卷 1012-1020页

作者： LIU Li HU DeAn ZHANG YouMin HAN Xu State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Key Laboratory of Advanced Design and Simulation Technology for Special Equipments Ministry of Education Hunan University School of Mechanical Engineering Hebei University of Technology

An experimental procedure is conducted to investigate the mechanism of the non-monotonic characteristic between curing temperature and mechanical behaviors of the Kevlar/epoxy composite in macro and micro levels. Different specimens are fabricated at four different curing temperatures and tested with ±45° off-axis tensile loading on a universal test machine coupled with digital image correlation(DIC). Moreover, the environmental scanning electron microscope(SEM) was used to obtain the micrographs and reveal their mechanism. The tested results show that the tensile mechanical behaviors are sensitive to the curing temperature and the relationship is non-monotonic. Also, as the temperature increases, the thicknesses of the specimens are significantly enlarged. By analyzing the SEM micrographs of the matrix grooves in the damage zone and DIC strain contours, it is concluded that the non-monotonic relationship is dominated by the properties of the Kevlar/epoxy interfaces and deformation of the distorted fibers.

关键词： Kevlar/epoxy composite mechanical behavior digital image correlation SEM micrograph non-monotonic character-istic distorted fiber

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Study on the friction and wear characteristics of NiCoCrAlYTa-Cr 2 O 3 -Cu-Mo composite coating and GH4214 under different temperature test conditions

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Tribology International 2025年 211卷

作者： Xin Tian Tianying Wang Ying Liu Sheng Gao Boxian Zhang Junma Yuan Yongjian Li State Key Laboratory of Tribology in Advanced Equipment Tsinghua University Beijing 100084 China AECC Beijing Institute of Aeronautical Materials Beijing 100095 China AVIC Manufacturing Technology Institute Beijing 100024 China AECC Hunan Aviation Powerplant Research Institute Hunan 412002 China

The frictional properties of coatings in brush seals are often influenced by environmental temperature. The study investigates the tribological properties of NiCoCrAlYTa-Cr₂O₃-Cu-Mo coating and GH4214 material under different temperature conditions, using a high-temperature friction and wear tester. The influence of changes in the composition and structure of the coating on the tribological properties of the coating under high-temperature friction conditions were examined using white light interferometer, scanning electron microscope (SEM), and X-ray diffractometer (XRD). The results show that the friction coefficient of the friction pairs shows a unimodal shape under the temperature range from room temperature to 650℃, with a maximum value of 0.61 at 500℃. When the temperature rises to 650℃, the friction coefficient decreases by 45.9 % compared to 500℃. This decrease is attributed to the generation of spinel oxides, which have a sustained self-lubricating effect, significantly reducing the friction coefficient and wear rate. Moreover, the internal structure of the coating undergoes the process of disorder to order with increasing temperature. The findings of this study provide theoretical guidance for designing high-performance, high-temperature wear-resistant coating materials.

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Towards sustainable and intelligent urban transportation: A novel deep transfer reinforcement learning framework for eco-driving of fuel cell buses

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Energy 2025年 330卷

作者： Huang, Ruchen He, Hongwen Su, Qicong Wu, Jingda National Key Laboratory of Advanced Vehicle Integration and Control Beijing Institute of Technology Beijing100081 China School of Mechanical Engineering Beijing Institute of Technology Beijing100081 China School of Engineering and Design Technical University of Munich Munich80333 Germany Department of Aeronautical and Aviation Engineering The Hong Kong Polytechnic University Hong Kong

Eco-driving is a sustainable technology that optimizes both energy management and speed planning for electrified vehicles. Particularly when combined with emerging deep reinforcement learning (DRL) techniques, eco-driving strategies (EDSs) can be more intelligent. However, current research on eco-driving, namely the holistic solution, lags behind the advancements in its sub-problem namely energy management, and the development of DRL-based EDSs remains time-consuming. Since energy management is a sub-task of eco-driving, it offers a potential way to rapidly develop EDSs by reusing pre-trained energy management strategies (EMSs). Based on this, this paper proposes an expedited method for developing soft actor-critic (SAC) based EDSs for fuel cell buses (FCBs) in the vehicle-following scenario. To ensure that SAC-based EMSs can be effectively transferred to EDSs, an innovative heterogeneous deep transfer reinforcement learning framework is designed. Within this framework, all the knowledge learned in the source EMS can be transferred and reused by the target EDS. More importantly, the transferability of heterogeneous deep neural networks and heterogeneous experience replay buffers is particularly verified. simulation results show that the proposed framework provides a 71.01 % acceleration in convergence speed and a 7.30 % improvement in fuel economy. This article contributes to correlating different optimization tasks of FCBs through advanced artificial intelligence technologies. © 2025

关键词： Deep reinforcement learning

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One-proton emission from 148−151Lu in the DRHBc+WKB approach

arXiv

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arXiv 2023年

作者： Xiao, Yang Xu, Si-Zhe Zheng, Ru-You Sun, Xiang-Xiang Geng, Li-Sheng Zhang, Shi-Sheng School of Space and Environment Beihang University Beijing102206 China School of Physics Beihang University Beijing102206 China Institut für Kernphysik Institute for Advanced Simulation Jülich Center for Hadron Physics Forschungszentrum Jülich JülichD-52425 Germany School of Nuclear Science and Technology University of Chinese Academy of Sciences Beijing100049 China Peng Huanwu Collaborative Center for Research and Education Beihang University Beijing100191 China Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang University Beijing102206 China Institute of Modern Physics Chinese Academy of Sciences Guangdong Province Huizhou516000 China

One-proton radioactivity in 149Lu, the latest identified proton emitter, is studied in the Wentzel-Kramers-Brillouin (WKB) approach with the proton-nucleus potential extracted from the deformed relativistic Hartree-Bogoliubov theory in continuum (DRHBc) for the first time. The predicted half-life turns out to be consistent with the experimental measurement within uncertainties and (almost) independent of the density functionals in the DRHBc theory. Such a microscopic self-consistent calculation reveals that 149Lu is oblately deformed with a quadrupole deformation β2 ≈ −0.18, and rules out the possibility of a prolate quadrupole deformation suggested in the nonadiabatic quasiparticle model. We also check the validity of this approach in the description of 150,151Lu and their isomeric states. The deviations of the predicted half-lives from their experimental counterparts are mostly smaller than those of the theoretical studies without considering deformation effects. Furthermore, we predict 148Lu to be a more oblately deformed proton-emitter with a longer half-life than that of 149Lu, which can be checked in the future. Our studies show that the DRHBc + WKB approach provides a new alternative method to evaluate the half-lives of well-deformed proton emitters. © 2023, CC BY.

关键词： Uncertainty analysis

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Preface

Engineering Applications of Computational Methods

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Engineering Applications of Computational Methods 2023年 13卷 V页

作者： Wen, Chih-Yung Jiang, Yazhong Shi, Lisong Department of Aeronautical and Aviation Engineering Faculty of Engineering The Hong Kong Polytechnic University Hong Kong Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics School of Science Wuhan University of Technology Hubei Wuhan China

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Hierarchical negative stiffness mechanical metamaterials

引用

Smart Materials and Structures 2025年第6期34卷 065008-065008页

作者： Qibo Qin Xin Liu Jianhao Man Bo Cao Bing Wang Xiaojun Tan School of Civil Aviation Northwestern Polytechnical University Xi’an 710072 Shaanxi People’s Republic of China National Key Laboratory of Science and Technology on Advanced Composites in Special Environments Harbin Institute of Technology Harbin 150080 Heilongjiang People’s Republic of China School of Mechanical Engineering Hebei University of Technology 300401 Tianjin People’s Republic of China

Negative stiffness mechanical metamaterials (NSMMs) have enormous application potential in fields such as energy absorption due to their unique mechanical properties. Currently, a large number of NSMMs with novel configurations have been proposed, greatly enriching the concept of such structural materials. However, the hierarchical structural design approach, commonly used in periodic structures, has not been applied in the design of NSMMs. This study proposes a new type of NSMM with hierarchical structural characteristics. Through experiments and numerical simulations, the mechanical properties and energy absorption performance of this hierarchical negative stiffness metamaterial were studied. The effects of structural parameters on the performance characteristics were analyzed, and a comparison was made between this hierarchical structure and traditional structures. The study shows that the hierarchical design can effectively optimize the mechanical response curve of NSMMs, constructing a flatter stress platform, which promotes the enhancement of energy absorption performance for such structures.

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Fully secure decentralized ciphertext-policy attribute-based encryption in standard model 14th

Fully secure decentralized ciphertext-policy attribute-based...

引用

14th International Conference on Information Security and Cryptology, Inscrypt 2018

作者： Ma, Chuangui Ge, Aijun Zhang, Jie Army Aviation Institute Beijing China Key Laboratory of Cryptologic Technology and Information Security Ministry of Education Shandong University Jinan China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9783030142339

In this paper, we introduce a new multi-authority ciphertext policy attribute-based encryption (MA-CP-ABE) system. In our system, there are multiple central authorities (CAs) and attribute authorities (AAs). The CAs will not need to coordinate or even be aware of each other, and so do the AAs. In particular, we present two constructions that will be proved secure in the standard model. Our first scheme is fully secure under static assumptions in composite-order bilinear group, and can work for any monotone access structure. The second one achieves constant size ciphertexts for AND-gate policy in prime-order group. The security can be proved under the decisional linear (DLIN) assumption. © 2019, Springer Nature Switzerland AG.

关键词： Cryptography

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General way to define tunneling time

引用

Chinese Physics B 2019年第5期28卷 27-31页

作者： Zheng Shu Xiaolei Hao Weidong Li Jing Chen Institute of Applied Physics and Computational Mathematics Institute of Theoretical Physics and Department of Physics State Key Laboratory of Quantum Optics and Quantum Optics DevicesCollaborative Innovation Center of Extreme Optics Shanxi University High Energy Density Physics Simulation (HEDPS) Center for Applied Physics and Technology Peking University Center for Advanced Material Diagnostic Technology Shenzhen Technology University

With the development of attosecond science, tunneling time can now be measured experimentally with the attoclock technique. However, there are many different theoretical definitions of tunneling time and no consensus has been ***, we bridge the relationship between different definitions of tunneling time based on a quantum travel time in onedimensional rectangular barrier tunneling problem. We find that the real quantum travel time t_(Re) is equal to the Bohmian time t_(Bohmian), which is related to the resonance lifetime of a bound state. The total quantum travel time τt can perfectly retrieve the transversal time t_x and the Büttiker–Landauer time τ_(BL) in two opposite limits, regardless of the particle energy.

关键词： tunneling time Büttiker–Landauer time Bohmian time

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