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20242026
most citedPhysics-Informed Neural Network based inverse framework for time-fractional differential equations for rheology

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physics.flu-dyn2025

ELPINN: Eulerian Lagrangian Physics-Informed Neural Network

Sukirt Thakur, Maziar Raissi

Physics-Informed Neural Networks (PINNs) have gained widespread popularity for solving inverse and forward problems across a range of scientific and engineering domains. However, m…

physics.flu-dyn2023

Temporal Consistency Loss for Physics-Informed Neural Networks

Sukirt Thakur, Maziar Raissi, Harsa Mitra +1

Physics-informed neural networks (PINNs) have been widely used to solve partial differential equations in a forward and inverse manner using deep neural networks. However, training…