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Venkatasubramanian Viswanathan

Self-supervised Pretraining for Partial Differential Equations

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Jul 03, 2024
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Differentiable Chemical Physics by Geometric Deep Learning for Gradient-based Property Optimization of Mixtures

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Oct 03, 2023
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Differentiable Turbulence II

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Jul 25, 2023
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Differentiable Turbulence

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Jul 07, 2023
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Chemellia: An Ecosystem for Atomistic Scientific Machine Learning

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May 19, 2023
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Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine Learning

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Feb 17, 2023
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Differentiable physics-enabled closure modeling for Burgers' turbulence

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Sep 23, 2022
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Score-Based Generative Models for Molecule Generation

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Mar 07, 2022
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Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning

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Nov 23, 2021
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Differentiable Physics: A Position Piece

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Sep 14, 2021
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