【学术视频】第六届复杂系统统计物理与数学国际研讨会 | 华中师范大学李炜教授
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图 | 李炜
题 目：The deep learning of non-equilibrium directed percolation model报告人：李炜单 位：华中师范大学时 间：2020-01-15地 点：华侨大学
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报告摘要
Directed percolation (DP) is by far the most studied and well-known absorbing phase transition in nonequilibrium critical phenomena. In this talk, I will apply the supervised deep learning technique to the study of direct percolation in both (1+1) and (2+1) dimensions. It will be shown that the critical thresholds, the spatial and temporal correlation exponents and the characteristic time exponents can be readily obtained. The results are comparable to those generated by Monte-Carlo simulations, but with much lower cost of computation. It's also found that by this means (2+1)-DP model can produce higher accuracy than (1+1)-DP model, which might be caused by the influence of fluctuations on low-dimensional models. While in higher dimensions the effects of fluctuations may be suppressed.
个人简介
会议简介
会议题目：第六届复杂系统统计物理与数学国际研讨会（SPMCS2020)
会议时间：2020-01-14会议地点：厦门主办方：华侨大学
The 6th International Workshop on Statistical Physics and Mathematics for Complex Systems (SPMCS 2020) held at Huaqiao University, Xiamen, China, January 14-18, 2020. SPMCS has begun in Le Mans (France) in 2008, and then has been held in Wuhan (China) in 2010, Kazan (Russia) in 2012, Yichang (China) in 2014, and Wuhan (China) in 2017. The primary aim of this workshop series is to offer a forum to the researchers of complex systems science for having discussions and exchanging ideas and information about the latest developments in the relevant fields.
● 第十届亚太动力学大会报告视频--李炜：Reinforcement Learning for Complementarity Game and Population Dynamics
●【学术视频】第六届复杂系统统计物理与数学国际研讨会 | 华侨大学郑志刚教授：A statistical view on synchronization in coupled oscillators
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