Physics and Equality Constrained Artificial Neural Networks: Application to Partial Differential Equations. - Shamsulhaq Basir; Inanc Senocak (CoRR, 2021)

Mitigating Learning Complexity in Physics and Equality Constrained Artificial Neural Networks. - Shamsulhaq Basir; Inanc Senocak (CoRR, 2022)

Critical Investigation of Failure Modes in Physics-informed Neural Networks. - Shamsulhaq Basir; Inanc Senocak (CoRR, 2022)

Investigating and Mitigating Failure Modes in Physics-informed Neural Networks (PINNs). - Shamsulhaq Basir (CoRR, 2022)

Physics and equality constrained artificial neural networks: Application to forward and inverse problems with multi-fidelity data fusion. - Shamsulhaq Basir; Inanc Senocak (J. Comput. Phys., 2022)

An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networks. - Shamsulhaq Basir; Inanc Senocak (CoRR, 2023)

A Generalized Schwarz-type Non-overlapping Domain Decomposition Method using Physics-constrained Neural Networks. - Shamsulhaq Basir; Inanc Senocak (CoRR, 2023)

Non-overlapping, Schwarz-type Domain Decomposition Method for Physics and Equality Constrained Artificial Neural Networks. - Qifeng Hu; Shamsulhaq Basir; Inanc Senocak (CoRR, 2024)