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[July 28] USNCCM15 Short Course on Machine Learning Data-Driven Discretization Theories, Modeling and Applications

Dear Colleagues and Friends,

In this short course, we will introduce the participants to the latest efforts on data-driven methods for mechanical and material sciences. The course will cover topics on
1. mechanistic data-driven clustering methods, direct and reduced order modeling techniques,
2. physics-informed neural networks, multi-fidelity Gaussian processes,
3. deep material networks and multiscale material failure analysis.
Some benchmarks on nano-polymer composites, polymer matrix composites, additive manufactured alloys will be demonstrated. For more details, please visit the website, http://15.usnccm.org/sc15-005.

Zeliang Liu's picture

[July 28] USNCCM15 Short Course on Machine Learning Data-Driven Discretization Theories, Modeling and Applications

Dear Colleagues and Friends,

We cordially invite your participation in a short course “Machine Learning Data-Driven Discretization Theories, Modeling and Applications” as part of the pre-congress activities of 15th U.S. National Congress on Computational Mechanics Conference to be held on July 28, 2019 at Austin, Texas.

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