力材院学术报告:Physics-informed machine learning: a novel computer modelling framework for mechanics(Professor YuanTong Gu,Queensland University of Technology, Australia)

发布者:校科协发布时间:2022-05-10浏览次数:127

报告题目:Physics-informed machine learning: a novel computer modelling framework for mechanics

报告时间2022年05月11日13:00-14:00(北京时间)

报告地点:线上腾讯会议(ID):678-863-340

                线上zoom会议(ID):984-1734-4433; 密码:073860

报 告 人:Professor YuanTong Gu,Queensland University of Technology, Australia.

主 持 人:傅卓佳 教授

主办单位:力学与材料学院固体力学研究所

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报告简介:

In recent years, there has been a revolution in the broad applications of physics-informed machine learning (PIML) for solving partial differential equations. It has been becoming a game-changer for computer modelling and simulation for engineering and science. This talk will review the most recent developments of PIML for mechanics, including solid mechanics, fracture machines and fluid mechanics. The recent research in the speaker’s group on PIML will also be reported.  It has proven that physics-informed machine learning will be the new generation of a computer modelling framework for mechanics.

报告人简介:

Professor YuanTong Gu is Head of School of Mechanical, Medical and Process Engineering at Queensland University of Technology (QUT), and Director of Australian Industrial Transformation Training Centre for Joint Biomechanics. Prof Gu’s research interests include Computational mechanics, Mechanical engineering, Biomechanics, Multiscale modelling, and Nanomechanics. He has secured more $40M research fund in relevant fields. He authored more than 360 refereed journal publications and one popular book. His publications have been attracted more than 14000 citations in Google Scholar. He is Associate Editor for two prestigious Q1 international journals, and an Editorial Board Member for other five journals. He is now an Executive Committee Member of the Australian Association on Computational Mechanics and the International Association of Applied Mechanics. Prof Gu has obtained several awards and prizes, including The International Computational Methods Award and The ICACM Computational Mechanics Award. He has been invited to give more than 30 plenary and invited talks at international conferences. He served as the conference chair for two international conferences and will organize the 9th Asian Pacific Congress on Computational Mechanic in 2025.