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Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems

Deep Learning-Based Forward Modeling and Inversion Techniques for ...

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This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the fields in real-time. After good training, the proposed architecture can resolve both the forward computing and the inverse retrieve problems.

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janvier 2025, 180 Pages, Anglais
Taylor and Francis
978-1-032-50303-5

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