research
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10/21/2022
Quantum Algorithms for Geologic Fracture Networks
Solving large systems of equations is a challenge for modeling natural p...
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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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05/27/2021
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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10/14/2018
Learning to fail: Predicting fracture evolution in brittle materials using recurrent graph convolutional neural networks
Understanding dynamic fracture propagation is essential to predicting ho...
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05/27/2017
