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  Location: Home >  Research Activities >  Seminar
Machine Learning for Many-Body Physics
2017-03-07     Text Size:  A

Institute of Theoretical Physics

Chinese Academy of Sciences

 Key Laboratory of Theoretical Physics

Seminar

Title

题目

Machine Learning for Many-Body Physics

Speaker

报告人

王磊

Affiliation

所在单位

中科院物理所

Date

日期

10:30-11:30, Tuesday, Mar.7, 2017

Venue

地点

ITP NEW BULIDING 6420

Abstract

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
 

Contact Person

联系人

Pan Zhang
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