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Khemraj Shukla

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Rethinking materials simulations: Blending direct numerical simulations with neural operators

Dec 08, 2023
Vivek Oommen, Khemraj Shukla, Saaketh Desai, Remi Dingreville, George Em Karniadakis

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Randomized Forward Mode of Automatic Differentiation for Optimization Algorithms

Oct 24, 2023
Khemraj Shukla, Yeonjong Shin

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AI-Aristotle: A Physics-Informed framework for Systems Biology Gray-Box Identification

Sep 29, 2023
Nazanin Ahmadi Daryakenari, Mario De Florio, Khemraj Shukla, George Em Karniadakis

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Tackling the Curse of Dimensionality with Physics-Informed Neural Networks

Aug 09, 2023
Zheyuan Hu, Khemraj Shukla, George Em Karniadakis, Kenji Kawaguchi

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Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs

Jul 18, 2023
Elham Kiyani, Mahdi Kooshkbaghi, Khemraj Shukla, Rahul Babu Koneru, Zhen Li, Luis Bravo, Anindya Ghoshal, George Em Karniadakis, Mikko Karttunen

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CrunchGPT: A chatGPT assisted framework for scientific machine learning

Jun 27, 2023
Varun Kumar, Leonard Gleyzer, Adar Kahana, Khemraj Shukla, George Em Karniadakis

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A Framework Based on Symbolic Regression Coupled with eXtended Physics-Informed Neural Networks for Gray-Box Learning of Equations of Motion from Data

May 18, 2023
Elham Kiyani, Khemraj Shukla, George Em Karniadakis, Mikko Karttunen

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