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05/31/2023
Data-scarce surrogate modeling of shock-induced pore collapse process
Understanding the mechanisms of shock-induced pore collapse is of great ...
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06/07/2022
Deep Convolutional Ritz Method: Parametric PDE surrogates without labeled data
Parametric surrogate models for partial differential equations (PDEs) ar...
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02/11/2022
Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning
We propose a unified data-driven reduced order model (ROM) that bridges ...
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05/27/2021
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks
This work is the first to employ and adapt the image-to-image translatio...
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07/20/2020
Choice of Interior Penalty Coefficient for Interior Penalty Discontinuous Galerkin Method for Biot's System by Employing Machine Learning
In this paper, the optimal choice of the interior penalty parameter of t...
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05/18/2020
Physics-informed Neural Networks for Solving Inverse Problems of Nonlinear Biot's Equations: Batch Training
In biomedical engineering, earthquake prediction, and underground energy...
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02/19/2020