A versatile framework to solve the Helmholtz equation using physics-informed neural networks

We thank KAUST for its support and the SWAG group for the collaborative environment. This work utilized the resources of the Supercomputing Laboratory at King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia, and we are grateful for that. We thank the editor, Dr Andrew Valentine, assistant editor, Louise Alexander, and Dr. Martijn van den Ende and one anonymous reviewer, for their critical and helpful review of the manuscript. We thank Dr. Fabio Crameri for releasing a perceptually-uniform color map.