Simulation and Prediction of Countercurrent Spontaneous Imbibition at Early and Late Times Using Physics-Informed Neural Networks. - Jassem Abbasi; Pål Østebø Andersen (CoRR, 2023)

History-Matching of Imbibition Flow in Multiscale Fractured Porous Media Using Physics-Informed Neural Networks (PINNs). - Jassem Abbasi; Ben Moseley; Takeshi Kurotori; Ameya D. Jagtap; Anthony R. Kovscek; Aksel Hiorth; Pål Østebø Andersen (CoRR, 2024)

Physical activation functions (PAFs): An approach for more efficient induction of physics into physics-informed neural networks (PINNs). - Jassem Abbasi; Pål Østebø Andersen (Neurocomputing, 2024)

Challenges and Advancements in Modeling Shock Fronts with Physics-Informed Neural Networks: A Review and Benchmarking Study. - Jassem Abbasi; Ameya D. Jagtap; Ben Moseley; Aksel Hiorth; Pål Østebø Andersen (CoRR, 2025)