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F03-Artificial Intelligence for Chemistry and Materials Science

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F03-Artificial Intelligence for Chemistry and Materials Science


Symposium Introduction

Artificial intelligence technology has widely been applied in the fields of materials, physics, chemistry, biology, energy and environment.

Symposium Topics

1. Artificial intelligence methods, including data mining, machine learning, deep learning, computational software, high-throughput computing, materials informatics, materials large model, materials genetic engineering, etc.
2. Applications of artificial intelligence in the fields of materials, physics, chemistry, energy, biology, environment, engineering, manufacturing, etc.

Symposium Organizers 

Name

Institution

E-mail
Chair

Xiao He

East China Normal University

xiaohe@phy.ecnu.edu.cn

Co-chairs  

Guoyong Fang

Wenzhou University

fanggy@wzu.edu.cn

Jun Jiang

University of Science and Technology of China

jiangj1@ustc.edu.cn

Haobo Li

Nanyang Technological University

haobo.li@adelaide.edu.au

Shaoqi Zhan

Uppsala University

shaoqi.zhan@kemi.uu.se

Organized by

East China Normal University, Wenzhou University, University of Science and Technology of China, Nanyang Technological University, Uppsala University


Contact with

Name: Guoyong Fang

Phone: +86-13868600593

Email: fanggy@wzu.edu.cn

Institution: Wenzhou University

Name: Hezhu Shao

Phone:+86-13736326212

Email: hzshao@wzu.edu.cn

Institution: Wenzhou University

Name: Yueyu Zhang

Phone:+86-18918037139

Email: zhangyy@wiucas.ac.cn

Institution: Wenzhou Institute, University of Chinese Academy of Sciences

Name: Jun Chen

Phone:+86-13799279725

Email: chenjun@fjirsm.ac.cn

Institution: Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences

Name: Manyi Yang

Phone:+86-15751868195

Email: manyi.yang@nju.edu.cn

Institution: Nanjing University


















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