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machine learning in mechanics

SwarnavaGhosh's picture

Machine-learned prediction of the electronic fields in deformed crystals

Dear Colleagues,

I am writing to share an article titled, "Machine-learned prediction of the electronic fields in a crystal", co-authored by Ying-Shi Teh, Professor Kaushik Bhattacharya and myself. The article is published in the journal Mechanics of Materials. Link to the article:  https://doi.org/10.1016/j.mechmat.2021.104070                               

Lucy Zhang's picture

Postdoctoral position at Rensselaer Polytechnic Institute (RPI)

We are inviting applications for a postdoctoral research associate position to work on an exciting project at the intersection of machine learning, computational mechanics, and materials science.

Applications will be accepted until the position is filled. To apply, send a resume, a cover letter, and contact information for at least three references to des@rpi.edu and zhanglucy@rpi.edu

WaiChing Sun's picture

Computational/machine learning mechanics Postdoc/PhD position available at Columbia University

Dear colleagues, 

There is a new opening for one postdoc/PhD student position, to be filled immediately, in my research group in the Department of Civil Engineering and Engineering Mechanics at Columbia University. We are looking for postdocs/PhD in the broad area of computational mechanics. Candidates should have expertise and experience on modeling dynamic responses of path-dependent materials and software development. Our project is specifically focused on applications of machine learning for computational plasticity and damage. 

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