数据驱动的新材料产业开发论坛-CHInano

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Conference Introduction

习近平总书记曾多次强调，“数据是新的生产要素，也是重要生产力”“要构建以数据为关键要素的数字经济”。随着大数据时代的到来，海量数据处理技术的积累和人工智能算法的逐步成熟，利用人工智能进行材料设计的成果开始大量涌现，以材料大数据驱动的新材料研发模式，正在成为行业研究者的共识。作为产业链的上游环节，新材料产业的发展受到下游应用场景的极大制约，但是5G、智能制造、物联网、大数据等快速发展，对材料行业提出了新要求，也带来了新机遇。本次材料大数据驱动的新材料产业开发论坛，将针对大数据驱动的新材料产业发展现状与趋势进行研究，共同探讨材料大数据驱动下新材料的创新研发成果和产业应用案例，将有效推动新材料产业创新发展。第三届数据驱动的新材料产业开发论坛将作为第十二届中国国际纳米技术产业博览会的分论坛在苏州工业园区举办，将由材料科学姑苏实验室、机数量子科技有限公司承办，于 2021年 10 月 27 日下午召开。本次论坛将围绕“以数据驱动的新材料开发”这一世界范围内的前沿课题展开。hfghgh

Organization

承办单位

材料科学姑苏实验室
机数量子科技有限公司

主办单位

材料科学姑苏实验室

Main topics

2021 Agenda Arrangement

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Date: Oct. 27	地点： A204-205
Time	Speaker	Speaker ’s Position / Organization and Speech Title
13:30-13:30	Sign-in
13:30-13:40	Speech
13:40-13:55	Brief Introduction to Gusu Lab
13:55-14:20	Wei Lu	Professor, Shanghai Institute of Technical Physics, Chinese Academy of Sciences Material Science towards the Digital Age
14:20-14:45	Xiaodong Wen	Research Fellow, Institute of Coal Chemistry Chinese Academy of Sciences The fundamental research on iron-based catalytic system towards data accumulation
14:45-15:10	Linfeng Zhang	Founder, Chief Scientist, DP Technology Co.,Ltd. AI-assisted Materials Design in the Cloud-Native Era
15:10-15:25	Tea Break
15:25-15:50	Jun Jiang	Professor, Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China Robot Scientists for Data-Driven Material Development
15:55-16:20	Yin Wang	CEO, HONGZHIWEI TECHNOLOGY(SHANGHAI) CO.,LTD The Latest Progress of HZWTECH in Multi-scale Material Simulation
16:20-16:45	Wei Cui	Senior Engineer, GOTION HIGH-TECH CO., Ltd. Battery material investigated by high-throughput calculation
16:45-17:10	Xiaoyu Yang	Computer Network Information Center, Chinese Academy of Sciences MatCloud+: Simulation, Data and AI -driven New Materials Discovery
17:10-17:15	Closing

Speakers

Speakers of 2021 Conference

Xiaodong Wen （Institute of Coal Chemistry, Chinese Academy of Sciences Research Fellow）

National high-level young talent, Deputy Director of the State Key Laboratory of Coal Conversion (SKLCC), Director of R&D Center of Synfuels China Technology Co., Ltd., he graduated from Institute of Coal Chemistry, Chinese Academy of Sciences in 2007 and has conducted research work at Cornell University and Los Alamos National Lab. Xiaodong Wen has been engaged in the basic research of catalysis for the energy conversion process, including new materials for catalytic applications, new catalytic processes, etc., has explored and practiced new R&D models to empower the field of energy and materials using intelligent and data technology and has made breakthroughs in tackling key technical challenges in the design of catalysts for the new generation of coal-to-liquids process and low-temperature preparation of hydrogen. The results were published in journals such as Nature, Science, etc. and won the 2019 Beijing Special Contribution Award for Innovation and Entrepreneurship of Returnees, the First Prize of Technological Invention Award of 2019 China Petroleum and Chemical Industry Federation , the Second Prize of 2020 China Coal Industry Science and Technology Award, the 11th "Invention and Entrepreneurship Award for People" of 2019 China Association of Inventions, the 2017 China Science and Technology Top Ten Progress Award, etc.

Speakers of 2021 Conference

Yi Luo （University of Science and Technology of China Professor）

Director of the National Research Center for Microscale Material Science, China University of Science and Technology, one of the first special experts of the Organization Department, CCCPC, Chief Scientist of the

Speakers of 2021 Conference

Linfeng Zhang （Beijing Institute of Big Data Research DP Technology Research Fellow Chief Scientist）

Dr. Zhang received his bachelor's degree from Yuanpei College, Peking University in 2016 and then received his PhD from the Department of Applied Mathematics, Princeton University in 2020. By effectively combining machine learning, multi-scale modeling and high-performance computing, a series of key issues in the directions of computational chemistry, molecular simulation and enhanced sampling are effectively solved, and the precision of the first principle is extended by several orders of magnitude on the time and spatial scales, which has generated a great influence on the modeling and simulation of the first principle in physics, chemistry, materials, biology and other fields. He's published more than 40 academic papers and developed open source software such as DeePMD-kit/DP-GEN and the DeepModeling open source community. As a key developer, he received the ACM Gordon Bell Award 2020, which is the highest award in high-performance computing.

Speakers of 2021 Conference

Jun Jiang （University of Science and Technology of China Hefei Jishu Technology Co., Ltd Professor）

The first batch of young overseas high-level talents of the Organization Department, CCCPC, Chief Scientist of the 973 Program of the MOST, winner of the National Science Fund for Distinguished Young Scholars, the Chinese Chemical Society Tang Ao-Chin Youth Award on Theoretical Chemistry and the Distinguished Lectureship Award of the Chemical Society of Japan.

Speakers of 2021 Conference

Wei Cui （GOTION HIGH-TECH CO.,Ltd. Senior Engineer）

Dr. Cui Wei is currently a Senior Engineer of Materials R&D at GOTION High-tech Co., Ltd. He received his Ph.D. from Xiamen University in 2014 and worked mainly in materials computing, before working as a postdoctoral researcher in Germany, Korea and Singapore. He has many years' experience in material computing in the mechanism of the reaction of battery materials (electrolytes, positive materials, negative materials), and specializes in combining material computing with experiments to improve material performance through synergies.