60 citations · 60 across the 2 of their papers we have counts for
1 paper · 1 filter
Federica Caforio, Martin Holler, Matthias Höfler
Physics-informed neural networks have emerged as a powerful tool in the scientific machine learning community, with applications to both forward and inverse problems. While they ha…