论文成果
- 1.杜瑶,王新刚,李晴,樊华伟,占萌,肖井华,Inferring attracting basins of power system with machine learning:Physical Review Research,2024.2.20,6:013181
- 2.樊华伟,王新刚,王亚,Eigenvector-based analysis of cluster synchronization in general complex networks of coupled chaotic oscillators:Frontiers of Physics,2023.7.26,18:45302
- 3.裴文杰,郑华,王新刚,探究耦合双摆系统测度同步的影响因素:大学物理,2023.4.15,42(4):51-56
- 4.王亮,王新刚,樊华伟,王亚峰,高健,兰岳恒,肖井华,Inferring synchronizability of networked heterogeneous oscillators with machine learning:Physical Review E,2023.2.24,107:024314
- 5.张晗,王新刚,樊华伟,杜瑶,王亮,Anticipating measure synchronization in coupled Hamiltonian systems with machine learning:Chaos,2022.7.28,32:083136
- 6.王亮,王新刚,樊华伟,肖井华,兰岳恒,Criticality in reservoir computer of coupled phase oscillators:Physical Review E,2022.5.3,105:L052201
- 7.樊华伟,王新刚,王亮,杜瑶,王亚峰,肖井华,Learning the dynamics of coupled oscillators from transients:Physical Review Research,2022.2.18,4:013137
- 8.王新刚,Ying-Cheng Lai,樊华伟,Kong Lingwei,Alan Hastings,Synchronization within synchronization: transients and intermittency in ecological networks:national science review,2021.11.1,8:nwaa269
- 9.王新刚,王新刚,张晗,樊华伟,王亮,Learning Hamiltonian dynamics with reservoir computing:Physical Review E,2021.8.6,104:024205
- 10.王新刚,王新刚,李炳伟,Yuan He,Ling-Dong Li,Lei Yang,Spiral wave chimeras in reaction-diffusion systems: Phenomenon, mechanism and transitions:Communications in Nonlinear Science and Numerical Simulation,2021.8.1,99:105830
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