On Theory-training Neural Networks to Infer the Solution of Highly Coupled Differential Equations. - M. Torabi Rad; Alexandre Viardin; Markus Apel (CoRR, 2021)

A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains. - Yusuke Yamazaki; Ali Harandi; Mayu Muramatsu; Alexandre Viardin; Markus Apel; Tim Brepols; Stefanie Reese; Shahed Rezaei (Eng. Comput., 2025)