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Amit Chakraborty

Using Parametric PINNs for Predicting Internal and External Turbulent Flows

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Oct 24, 2024
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An Operator Learning Framework for Spatiotemporal Super-resolution of Scientific Simulations

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Nov 04, 2023
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RANS-PINN based Simulation Surrogates for Predicting Turbulent Flows

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Jun 22, 2023
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A Neural ODE Interpretation of Transformer Layers

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Dec 12, 2022
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Demystifying the Data Need of ML-surrogates for CFD Simulations

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May 05, 2022
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Physics-informed neural networks for modeling rate- and temperature-dependent plasticity

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Jan 20, 2022
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A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles

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Nov 08, 2021
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EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles

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Sep 19, 2021
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A Differentiable Contact Model to Extend Lagrangian and Hamiltonian Neural Networks for Modeling Hybrid Dynamics

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Feb 12, 2021
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Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data

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Dec 30, 2020
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