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Hongjun Xiang
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2020 – today
- 2024
- [j12]Yang Zhong, Shixu Liu, Binhua Zhang, Zhiguo Tao, Yuting Sun, Weibin Chu, Xin-Gao Gong, Ji-Hui Yang, Hongjun Xiang:
Accelerating the calculation of electron-phonon coupling strength with machine learning. Nat. Comput. Sci. 4(8): 615-625 (2024) - [i7]Yang Zhong, Jihui Yang, Hongjun Xiang, Xingao Gong:
Universal Machine Learning Kohn-Sham Hamiltonian for Materials. CoRR abs/2402.09251 (2024) - 2023
- [j11]Mao Su, Ji-Hui Yang, Hongjun Xiang, Xingao Gong:
Efficient determination of the Hamiltonian and electronic properties using graph neural network with complete local coordinates. Mach. Learn. Sci. Technol. 4(3): 35010 (2023) - [j10]Baishun Yang, Yang Li, Hongjun Xiang, Haiqing Lin, Bing Huang:
Moiré magnetic exchange interactions in twisted magnets. Nat. Comput. Sci. 3(4): 314-320 (2023) - 2022
- [j9]Hongjun Xiang, Chunyan Liang, Zhiming Qiao, Xichao Yuan, Genrong Cao:
Parameters Simulation and Optimization of Flying Net for UAVs Interception. IEEE Access 10: 56668-56676 (2022) - [i6]Yang Zhong, Hongyu Yu, Xingao Gong, Hongjun Xiang:
Edge-based Tensor prediction via graph neural networks. CoRR abs/2201.05770 (2022) - [i5]Hongyu Yu, Yang Zhong, Changsong Xu, Xingao Gong, Hongjun Xiang:
Graph Neural Network Potential for Magnetic Materials. CoRR abs/2203.02853 (2022) - [i4]Yang Zhong, Hongyu Yu, Mao Su, Xingao Gong, Hongjun Xiang:
Transferable E(3) equivariant parameterization for Hamiltonian of molecules and solids. CoRR abs/2210.16190 (2022) - [i3]Hongyu Yu, Yang Zhong, Junyi Jessy Ji, Xingao Gong, Hongjun Xiang:
Time-reversal equivariant neural network potential and Hamiltonian for magnetic materials. CoRR abs/2211.11403 (2022) - [i2]Hongyu Yu, Liangliang Hong, Shiyou Chen, Xingao Gong, Hongjun Xiang:
Capturing long-range interaction with reciprocal space neural network. CoRR abs/2211.16684 (2022) - 2021
- [j8]Chunyan Liang, Hongjun Xiang, Xichao Yuan, Zhiming Qiao, Qing-Ao Lv:
Reverse Force Suppression Method of Reluctance Coil Launcher Based on Consumption Resistor. IEEE Access 9: 62770-62778 (2021) - [i1]Hongyu Yu, Changsong Xu, Feng Lou, L. Bellaiche, Zhenpeng Hu, Xingao Gong, Hongjun Xiang:
Complex Spin Hamiltonian Represented by Artificial Neural Network. CoRR abs/2110.00724 (2021)
2010 – 2019
- 2013
- [j7]Anhui Gu, Hongjun Xiang:
Upper semicontinuity of random attractors for stochastic three-component reversible Gray-Scott system. Appl. Math. Comput. 225: 387-400 (2013) - 2011
- [c2]Defan Zhou, Xiaodong Yu, Xiuli Meng, Chunli Gao, Zhixin Qiu, Hongjun Xiang, Changqing Yang, Yinfeng Liu, Shuyan Zhao, Yan Ni, Wenwu Guo:
Theoretical research on bending deflection of ram in DVT250 numerical control double-column lathe. EMEIT 2011: 1567-1570 - 2010
- [j6]Jinhua Wang, Hongjun Xiang, Zhigang Liu:
Existence of Concave Positive Solutions for Boundary Value Problem of Nonlinear Fractional Differential Equation with p-Laplacian Operator. Int. J. Math. Math. Sci. 2010: 495138:1-495138:17 (2010)
2000 – 2009
- 2009
- [j5]Hongjun Xiang, Jinde Cao:
Exponential stability of periodic solution to Cohen-Grossberg-type BAM networks with time-varying delays. Neurocomputing 72(7-9): 1702-1711 (2009) - [j4]Hongjun Xiang, Jinhua Wang, Jinde Cao:
Almost periodic solution to Cohen-Grossberg-type BAM networks with distributed delays. Neurocomputing 72(16-18): 3751-3759 (2009) - 2008
- [j3]Hongjun Xiang, Jinde Cao:
Periodic Oscillation of Fuzzy Cohen-Grossberg Neural Networks with Distributed Delay and Variable Coefficients. J. Appl. Math. 2008 (2008) - [j2]Dadi Dai, Hongjun Xiang, Myung-Hwan Whangbo:
Effects of spin-orbit coupling on magnetic properties of discrete and extended magnetic systems. J. Comput. Chem. 29(13): 2187-2209 (2008) - 2007
- [j1]Erfu Yang, Hongjun Xiang, Dongbing Gu, Zhenpeng Zhang:
A comparative study of genetic algorithm parameters for the inverse problem-based fault diagnosis of liquid rocket propulsion systems. Int. J. Autom. Comput. 4(3): 255-261 (2007) - [c1]Hongjun Xiang, Jinde Cao:
Periodic Solution of Cohen-Grossberg Neural Networks with Variable Coefficients. ISNN (1) 2007: 941-951
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