An efficient hp-Variational PINNs framework for incompressible Navier-Stokes equations. - Thivin Anandh; Divij Ghose; Ankit Tyagi; Abhineet Gupta; Suranjan Sarkar; Sashikumaar Ganesan (CoRR, 2024)

Improving hp-Variational Physics-Informed Neural Networks for Steady-State Convection-Dominated Problems. - Thivin Anandh; Divij Ghose; Himanshu Jain; Pratham Sunkad; Sashikumaar Ganesan; Volker John (CoRR, 2024)

FastVPINNs: An efficient tensor-based Python library for solving partial differential equations using hp-Variational Physics Informed Neural Networks. - Thivin Anandh; Divij Ghose; Sashikumaar Ganesan (J. Open Source Softw., 2024)

FastVPINNs: Tensor-Driven Acceleration of VPINNs for Complex Geometries. - Thivin Anandh; Divij Ghose; Himanshu Jain; Sashikumaar Ganesan (SIAM J. Sci. Comput., 2025)