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

<p>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.</p>