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物理学院“博约学术论坛”系列报告(第 98 期)

发布日期:2017年01月09日

题目:Machine Learning for Many-Body Physics
报告人:王磊 副研究员(中国科学院物理研究所青年千人)
时 间:2017年1月11日(周三)上午10:00
地 点:北京理工大学中心教学楼610
摘要:
Machine learning provides us a new toolset and, more importantly, a new way of thinking about many-body physics. I will first give a pedagogical introduction to machine learning, then review its recent applications in many-body physics with personal remarks. Finally, I will talk about our efforts hinge on the question: Can we make new scientific discovery and invent new efficient algorithms with it ? Our answer: YES, hopefully.
Refs:
[1] Lei Wang, 1606.00318
[2] Li Huang and Lei Wang, 1610.02746
[3] Li Huang, Yi-feng Yang and Lei Wang, 1612.01871