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George Karniadakis

Bridging scales in multiscale bubble growth dynamics with correlated fluctuations using neural operator learning

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Mar 20, 2024
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A novel deeponet model for learning moving-solution operators with applications to earthquake hypocenter localization

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Jun 07, 2023
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Physics-Informed Computer Vision: A Review and Perspectives

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Jun 01, 2023
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Splitting physics-informed neural networks for inferring the dynamics of integer- and fractional-order neuron models

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Apr 26, 2023
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Machine Learning in Heterogeneous Porous Materials

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Feb 04, 2022
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A physics-informed variational DeepONet for predicting the crack path in brittle materials

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Aug 16, 2021
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Learning functionals via LSTM neural networks for predicting vessel dynamics in extreme sea states

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Dec 23, 2019
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Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs

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Oct 29, 2019
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Machine Learning of Space-Fractional Differential Equations

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Aug 14, 2018
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Deep Multi-fidelity Gaussian Processes

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Apr 26, 2016
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