22 citations · 28 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2022★ 22 cited
Physics-informed neural networks for modeling rate- and temperature-dependent plasticity
Rajat Arora, Pratik Kakkar, Biswadip Dey +1
This work presents a physics-informed neural network (PINN) based framework to model the strain-rate and temperature dependence of the deformation fields in elastic-viscoplastic so…
cs.LG2020★ 6 cited
Frequency-compensated PINNs for Fluid-dynamic Design Problems
Tongtao Zhang, Biswadip Dey, Pratik Kakkar +2
Incompressible fluid flow around a cylinder is one of the classical problems in fluid-dynamics with strong relevance with many real-world engineering problems, for example, design…