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04/30/2022
Identification of Physical Processes and Unknown Parameters of 3D Groundwater Contaminant Problems via Theory-guided U-net
Identification of unknown physical processes and parameters of groundwat...
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04/15/2022
Deep learning based closed-loop optimization of geothermal reservoir production
To maximize the economic benefits of geothermal energy production, it is...
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12/31/2021
Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network
Large-scale or high-resolution geologic models usually comprise a huge n...
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11/17/2020
Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling
A Theory-guided Auto-Encoder (TgAE) framework is proposed for surrogate ...
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04/25/2020
Efficient Uncertainty Quantification for Dynamic Subsurface Flow with Surrogate by Theory-guided Neural Network
Subsurface flow problems usually involve some degree of uncertainty. Con...
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01/21/2020
DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm
Data-driven methods have recently been developed to discover underlying ...
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08/13/2019
DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data
In recent years, data-driven methods have been utilized to learn dynamic...
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08/03/2019
Ensemble Neural Networks (ENN): A gradient-free stochastic method
In this study, an efficient stochastic gradient-free method, the ensembl...
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10/29/2018