首 页机构概况机构设置科研人才队伍合作交流研究生教育博士后图书馆创新文化党群园地院重点实验室信息公开
  学术活动
  您现在的位置:首页 > 学术活动 > 专题学术报告/Seminar
Machine Learning for Many-Body Physics
2017-03-07  【 】【打印】【关闭

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
IE6.0浏览器,1024X768分辨率 版权所有 © 中国科学院理论物理研究所
地址:北京市海淀区中关村东路55号 邮政编码:100190
京ICP备05002865号】 京公网安备1101080094号