An anisotropic cohesive fracture model: advantages and limitations of length-scale insensitive phase-field damage models. - Shahed Rezaei; Ali Harandi; Tim Brepols; Stefanie Reese (CoRR, 2021)

A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method. - Shahed Rezaei; Ali Harandi; Ahmad Moeineddin; Bai-Xiang Xu; Stefanie Reese (CoRR, 2022)

Mixed formulation of physics-informed neural networks for thermo-mechanically coupled systems and heterogeneous domains. - Ali Harandi; Ahmad Moeineddin; Michael Kaliske; Stefanie Reese; Shahed Rezaei (CoRR, 2023)

Learning solution of nonlinear constitutive material models using physics-informed neural networks: COMM-PINN. - Shahed Rezaei; Ahmad Moeineddin; Ali Harandi (CoRR, 2023)

A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical deformations. - Shahed Rezaei; Shirko Faroughi; Mahdi Asgharzadeh; Ali Harandi; Gottfried Laschet; Stefanie Reese; Markus Apel (CoRR, 2024)

A Spectral-based Physics-informed Finite Operator Learning for Prediction of Mechanical Behavior of Microstructures. - Ali Harandi; Hooman Danesh; Kevin Linka; Stefanie Reese; Shahed Rezaei (CoRR, 2024)

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)