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model theory, in particular for elasto-visco-plasticity, and thermodynamics of materials will be an asset. Project description Supervisor: Laurent STAINIER Keywords: Data-Driven Computational Mechanics
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of results from a simulation code - scientific communication (internal reports and presentations, journal articles, participation in workshops and conferences) The theory group of SUBATECH is presently working
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) have shown promise in incorporating physical constraints into the learning process. Recent developments in geometric deep learning, graph NN and neural operators have further expanded the potential
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frequency regulation and stability for future power systems with high penetration of grid-forming and grid-following inverters. The work will involve developing mathematical models using a simulation software