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12/01/2022
Physics-Constrained Generative Adversarial Networks for 3D Turbulence
Generative Adversarial Networks (GANs) have received wide acclaim among ...
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09/26/2022
An adaptive wavelet method for nonlinear partial differential equations with applications to dynamic damage modeling
Multiscale and multiphysics problems need novel numerical methods in ord...
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09/20/2022
Predictive Scale-Bridging Simulations through Active Learning
Throughout computational science, there is a growing need to utilize the...
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05/10/2022
Regression-based projection for learning Mori–Zwanzig operators
We propose to adopt statistical regression as the projection operator to...
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10/25/2021
Physics Informed Machine Learning of SPH: Machine Learning Lagrangian Turbulence
Smoothed particle hydrodynamics (SPH) is a mesh-free Lagrangian method f...
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06/21/2021
Objective discovery of dominant dynamical processes with intelligible machine learning
The advent of big data has vast potential for discovery in natural pheno...
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06/09/2021
A multiresolution adaptive wavelet method for nonlinear partial differential equations
The multiscale complexity of modern problems in computational science an...
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05/20/2019