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MEAM Seminar: “Digital Twin Development using Physics-Informed Neural Operators”
MEAM Seminar: “Digital Twin Development using Physics-Informed Neural Operators”
Digital twins are virtual models of physical systems that allow for more computationally cost-effective evaluation and optimization. Building digital twins often involves machine learning techniques that integrate data with underlying physical laws. In this seminar, I'll explore two such techniques: Physics-Informed Neural Networks (PINNs) and operator learning. First, I'll discuss the formulation of PINNs and […]