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Mahesh Tom from AIReX Lab completes his M.Tech Research Colloquium
Mahesh Tom from AIReX lab completes his M.Tech research colloquium on “Learning Multiple Initial Conditions Using Physics-Informed Neural Networks (PINNs)”. The Abstract of his talk : Physics-Informed Neural Networks (PINNs) and their variants have emerged as tools for solving differential…
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FastVPINNs for Incompressible Navier-Stokes Problem was presented at ICCFD’12 at Kobe-Japan
Our work on FastVPINNs for incompressible Navier-Stokes equation compiled by Thivin Anandh, Divij Ghose and Prof. Sashikumaar Ganesan was accepted for presentation at ICCFD’12 held at Kobe, Japan on Jul 17. Abstract of the Task: Physics-informed Neural Networks (PINNs) solve…
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FastVPINNs was presented at CRUNCH Lab.
Prof. Sashikumaar Ganesan, Thivin Anandh and Divij Ghose presented their work on FastVPINNs at CRUNCH Lab Seminar held by Prof. George Karniadakis group on June 21-2024. Abstract for the Talk: Variational Physics-Informed Neural Networks (VPINNs) solve partial differential equations (PDEs)…