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WaiChing Sun's picture

Computational Mechanics Postdoctoral Research Scientist Position at Columbia University

Dear colleagues, 

There is a new opening for one postdoc 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 in the broad area of computational mechanics. Candidates should have expertise in modeling dynamic responses of path-dependent materials. Our project is specifically focused on applications of machine learning (reinforcement learning, graph embedding) for computational plasticity and damage. 

mbessa's picture

Journal Club for February 2020: Machine Learning in Mechanics: simple resources, examples & opportunities

Machine learning (ML) in Mechanics is a fascinating and timely topic. This article follows from a kind invitation to provide some thoughts about the use of ML algorithms to solve mechanics problems by overviewing my past and current research efforts along with students and collaborators in this field. A brief introduction on ML is initially provided for the colleagues not familiar with the topic, followed by a section about the usefulness of ML in Mechanics, and finally I will reflect on the challenges and opportunities in this field.

The Machine Learning as an Expert System


To cut a somewhat long story short, I think that I can ``see'' that Machine Learning (including Deep Learning) can actually be regarded as a rules-based expert system, albeit of a special kind.

I am sure that people must have written articles expressing this view. However, simple googling didn’t get me to any useful material.

I would deeply appreciate it if someone could please point out references in this direction. Thanks in advance.


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