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20192026
most citedTransfer learning enhanced physics informed neural network for phase-field modeling of fracture

2 citations · 3 across the 6 of their papers we have counts for

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physics.comp-ph2026

Neural Hodge Corrective Solvers: A Hybrid Iterative-Neural Framework

Arjun Puthli, Somdatta Goswami, Souvik Chakraborty

We introduce the Neural Hodge Corrective Solver (NHCS), a hybrid iterative-neural framework for partial differential equations that embeds learned corrective operators within the D…

physics.comp-ph2025

Towards Unified AI-Driven Fracture Mechanics: The Extended Deep Energy Method (XDEM)

Yizheng Wang, Yuzhou Lin, Somdatta Goswami +8

Physics-Informed Neural Networks (PINNs) have recently emerged as powerful tools for solving partial differential equations (PDEs), with the Deep Energy Method (DEM) proving especi…