Deep Learning in Computational Mechanics : An Introductory Course
Second Edition 2025
Book Details
Format
Hardback
ISBN-10
3031895282
ISBN-13
9783031895289
Edition
Second Edition 2025
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Nov 25th, 2025
Print length
475 Pages
Weight
988 grams
Dimensions
16.00 x 24.20 x 2.90 cms
Product Classification:
Engineering thermodynamicsMachine learning
KSh 18,000.00
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This book provides a first course without requiring prerequisite knowledge. Fundamental concepts of machine learning are introduced before explaining neural networks. With this knowledge, prominent topics in deep learning for simulation are explored. These include surrogate modeling, physics-informed neural networks, generative artificial intelligence, Hamiltonian/Lagrangian neural networks, input convex neural networks, and more general machine learning techniques. The idea of the book is to provide basic concepts as simple as possible but in a mathematically sound manner. Starting point are one-dimensional examples including elasticity, plasticity, heat evolution, or wave propagation. The concepts are then expanded to state-of-the-art applications in material modeling, generative artificial intelligence, topology optimization, defect detection, and inverse problems.
Get Deep Learning in Computational Mechanics by Leon Herrmann, Moritz Jokeit at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer International Publishing AG and it has 475 pages.
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