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

5Advanced Deep Learning Techniques in Computational Physics

DOI: 10.1201/9781003397830-5

Computational physics is a new discipline that uses computers and computer science as tools and approaches, applies appropriate mathematical methods, conducts numerical analysis of physical problems, and performs numerical simulation of practical processes. Traditional computational physics methods include finite difference method [1, 2, 3], finite element method [4, 5, 6], variation method [7, 8], molecular dynamics method [9, 10], Monte Carlo simulation method [11], etc. In recent years, with the continuous development of deep learning technology, new methods combining computational physics with various neural networks emerge in endlessly. In this chapter, ...