Hongjun Xiang

25 papers Journal 23Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Physics-Informed Long-Range Coulomb Correction for Machine-learning Hamiltonians.
CoRR
Yang Zhong, Xiwen Li, Xingao Gong, Hongjun Xiang
2025 J jnl
A New Analysis Framework for Solving Multiple Frequencies and Solutions of Nonlinear Piezoelectric Energy Harvesters.
Commun. Nonlinear Sci. Numer. Simul.
Yi Yang, Hongjun Xiang
2025 J jnl
Influence of Temperature on Launching Characteristics of Lithium-Battery-Powered Reluctance Launcher.
IEEE Access
Zhichao Yu, Hongjun Xiang, Genrong Cao, Zhiming Qiao, Xichao Yuan, Fuqiang Gong, Yongwei An, Lei Deng, Peng Wu
2025 J jnl
Review on Less-Lethal Electrical Weapons: Evolution, Mechanisms, and Critical Technology.
IEEE Access
Lei Deng, Genrong Cao, Xichao Yuan, Zhiming Qiao, Peng Wu, Fuqiang Gong, Zhichao Yu, Yongwei An, Hongjun Xiang, Qing-Ao Lv
2024 J jnl
Accelerating the calculation of electron-phonon coupling strength with machine learning.
Nat. Comput. Sci.
Yang Zhong, Shixu Liu, Binhua Zhang, Zhiguo Tao, Yuting Sun, Weibin Chu, Xin-Gao Gong, Ji-Hui Yang, Hongjun Xiang
2024 J jnl
Universal Machine Learning Kohn-Sham Hamiltonian for Materials.
CoRR
Yang Zhong, Jihui Yang, Hongjun Xiang, Xingao Gong
2023 J jnl
Efficient determination of the Hamiltonian and electronic properties using graph neural network with complete local coordinates.
Mach. Learn. Sci. Technol.
Mao Su, Ji-Hui Yang, Hongjun Xiang, Xingao Gong
2023 J jnl
Moiré magnetic exchange interactions in twisted magnets.
Nat. Comput. Sci.
Baishun Yang, Yang Li, Hongjun Xiang, Haiqing Lin, Bing Huang
2022 J jnl
Capturing long-range interaction with reciprocal space neural network.
CoRR
Hongyu Yu, Liangliang Hong, Shiyou Chen, Xingao Gong, Hongjun Xiang
2022 J jnl
Edge-based Tensor prediction via graph neural networks.
CoRR
Yang Zhong, Hongyu Yu, Xingao Gong, Hongjun Xiang
2022 J jnl
Graph Neural Network Potential for Magnetic Materials.
CoRR
Hongyu Yu, Yang Zhong, Changsong Xu, Xingao Gong, Hongjun Xiang
2022 J jnl
Parameters Simulation and Optimization of Flying Net for UAVs Interception.
IEEE Access
Hongjun Xiang, Chunyan Liang, Zhiming Qiao, Xichao Yuan, Genrong Cao
2022 J jnl
Time-reversal equivariant neural network potential and Hamiltonian for magnetic materials.
CoRR
Hongyu Yu, Yang Zhong, Junyi Jessy Ji, Xingao Gong, Hongjun Xiang
2022 J jnl
Transferable E(3) equivariant parameterization for Hamiltonian of molecules and solids.
CoRR
Yang Zhong, Hongyu Yu, Mao Su, Xingao Gong, Hongjun Xiang
2021 J jnl
Complex Spin Hamiltonian Represented by Artificial Neural Network.
CoRR
Hongyu Yu, Changsong Xu, Feng Lou, L. Bellaiche, Zhenpeng Hu, Xingao Gong, Hongjun Xiang
2021 J jnl
Reverse Force Suppression Method of Reluctance Coil Launcher Based on Consumption Resistor.
IEEE Access
Chunyan Liang, Hongjun Xiang, Xichao Yuan, Zhiming Qiao, Qing-Ao Lv
2013 J jnl
Upper semicontinuity of random attractors for stochastic three-component reversible Gray-Scott system.
Appl. Math. Comput.
Anhui Gu, Hongjun Xiang
2011 — conf
Theoretical research on bending deflection of ram in DVT250 numerical control double-column lathe.
EMEIT
Defan Zhou, Xiaodong Yu, Xiuli Meng, Chunli Gao, Zhixin Qiu, Hongjun Xiang, Changqing Yang, Yinfeng Liu, Shuyan Zhao, Yan Ni, Wenwu Guo
2010 J jnl
Existence of Concave Positive Solutions for Boundary Value Problem of Nonlinear Fractional Differential Equation with p-Laplacian Operator.
Int. J. Math. Math. Sci.
Jinhua Wang, Hongjun Xiang, Zhigang Liu
2009 J jnl
Almost periodic solution to Cohen-Grossberg-type BAM networks with distributed delays.
Neurocomputing
Hongjun Xiang, Jinhua Wang, Jinde Cao
2009 J jnl
Exponential stability of periodic solution to Cohen-Grossberg-type BAM networks with time-varying delays.
Neurocomputing
Hongjun Xiang, Jinde Cao
2008 J jnl
Effects of spin-orbit coupling on magnetic properties of discrete and extended magnetic systems.
J. Comput. Chem.
Dadi Dai, Hongjun Xiang, Myung-Hwan Whangbo
2008 J jnl
Periodic Oscillation of Fuzzy Cohen-Grossberg Neural Networks with Distributed Delay and Variable Coefficients.
J. Appl. Math.
Hongjun Xiang, Jinde Cao
2007 J jnl
A comparative study of genetic algorithm parameters for the inverse problem-based fault diagnosis of liquid rocket propulsion systems.
Int. J. Autom. Comput.
Erfu Yang, Hongjun Xiang, Dongbing Gu, Zhenpeng Zhang
2007 — conf
Periodic Solution of Cohen-Grossberg Neural Networks with Variable Coefficients.
ISNN (1)
Hongjun Xiang, Jinde Cao