【直播】【JMI】日本国立材料研究所徐一斌教授学术报告
The following article is from 材料信息学MaterialsInformatics Author JMI编辑部
报告名称:
Data Collection from Literature for Data-Driven research of Battery Materials | JMI 线上研讨会
报告时间:
2022年11月29日(周二)15:00
报告嘉宾:
Prof. Yibin Xu
主持人:
Prof. Yi Liu, Materials Genome Institute, Shanghai University, Shanghai, China
主办单位:
Journal of Materials Informatics期刊
Jounal of Materials Informatics (JMI)将于2022年11月29日举办第五期线上研讨会!本期研讨会有幸邀请到了日本国立材料研究所的徐一斌教授以“Data Collection from Literature for Data-Driven research of Battery Materials”为题为大家进行数据驱动电池材料研究的经验分享。本次线上研讨会将于北京时间2022年11月29日下午03: 00进行,本次会议主持将由期刊编委上海大学刘轶教授担任。本次会议全程免费,JMI编辑部欢迎广大学者专家积极参与,共同分享讨论领域内最新学术成果,届时会有提问讨论环节,欢迎大家参与会议。
直播通道
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报告人介绍
Prof. Yibin Xu
National Institute for Materials Science, Tsukuba, Japan
Yibin Xu is currently the Deputy Director of Research and Services Division of Materials Data and Integrated System, and the Group Leader of Data-Driven Inorganic Materials Research Group in National Institute for Materials Science (NIMS). She received her Ph.D. in engineering in 1994 at Shanghai Institute of Ceramics, Chinese Academy of Science, and Ph.D. in information science in 2007 at Nagoya University. She has been working in NIMS since 2002, in charge of development of materials databases, meanwhile as a researcher of multi-scale transportation properties from single crystal to complex material systems. Her recent research interests include material big data construction, and machine learning aided design and optimization of functional inorganic materials.
报告简介
Data infrastructure is the fundamental of data-driven materials research. Literature is one of the most important data resources, because a major method to record research data is to publish them as papers since the 19th century. In this work, we try to collect data from literature by text mining and manual extraction for data-driven research of battery materials. Statistics on papers and data related to battery materials will be given. The processes of literature selection, data standardization, and link to existing databases will be introduced and discussed.
主持人介绍
Prof. Yi Liu
Materials Genome Institute, Shanghai University, Shanghai, China.
Prof. Yi LIU obtained a Ph. D. degree at Materials Science and Engineering at Institute of Metal Research in China in 1997. Then he had worked as a postdoctor or senior researcher in the field of computational materials science at Nagoya University, Japan (1997-2002); Juelich Research Center, Germany (2002-2003); University of Western Ontario, Canada (2003-2005); California Institute of Technology, US (2006-2012). He was appointed as a professor at the School of Materials Science and Engineering, the University of Shanghai for Science and Technology between 2012-2015. Then he moved to Department of Physics and Materials Genome Institute at Shanghai University (2015-present). His current research interests focus on the data-driven materials design by combining machine learning with multiscale computation and high-throughput experiment approaches, applied to high-performance alloys, combustion, nanomaterials, and catalyst.
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