22 citations · 30 across the 8 of their papers we have counts for
4 papers · 1 filter
Spatio-Temporal Super-Resolution of Dynamical Systems using Physics-Informed Deep-Learning
Rajat Arora, Ankit Shrivastava
This work presents a physics-informed deep learning-based super-resolution framework to enhance the spatio-temporal resolution of the solution of time-dependent partial differentia…
PhySRNet: Physics informed super-resolution network for application in computational solid mechanics
Rajat Arora
Traditional approaches based on finite element analyses have been successfully used to predict the macro-scale behavior of heterogeneous materials (composites, multicomponent alloy…
Mechanics of micropillar confined thin film plasticity
Abhishek Arora, Rajat Arora, Amit Acharya
Micropillar compression experiments probing size effects in confined plasticity of metal thin films, including the indirect imposition of 'canonical' simple shearing boundary condi…
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…