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Yinpeng Wang,Qiang Ren

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

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

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

Format: Paperback / softback
Length: 180 pages
Publication date: 30 January 2025
Publisher: Taylor & Francis Ltd

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.

Weight: 358g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032503035

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