Deep Learning in Computational Mechanics

Leon Herrmann , Moritz Jokeit , Oliver Weeger , Stefan Kollmannsberger.  ·  2025

 ·  Professional

Deep Learning in Computational Mechanics cover
Cover of Deep Learning in Computational Mechanics

Key features:

  • Introduces to the adaption of learning-based methods in the domain of computational mechanics
  • Presents fundamental concepts of Machine Learning, Neural Networks, and their corresponding algorithms
  • Includes extensive updates and five new chapters to enrich the reader’s understanding of the subject

Table of Contents

Chapter # Chapter Title
1 Computational Mechanics Meets Artificial Intelligence
2 Fundamental Concepts of Machine Learning
3 Neural Networks
4 Introduction to Physics-Informed Neural Networks
5 Advanced Physics-Informed Neural Networks
6 Machine Learning in Computational Mechanics
7 Material Modeling with Neural Networks
8 Generative Artificial Intelligence
9 Inverse Problems and Deep Learning
10 Methodological Overview of Deep Learning in Computational Mechanics
11 The Future of Deep Learning in Computational Mechanics