Challenges in automatic differentiation and numerical integration in physics-informed neural networks modelling

Josef Daněk, Jan Pospíšil

In this paper, we numerically examine the precision challenges that emerge in automatic differentiation and numerical integration in various tasks now tackled by physics-informed n…