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Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management


Jun 21, 2022
Aleksandra Pachalieva, Daniel O'Malley, Dylan Robert Harp, Hari Viswanathan

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* 12 pages, 5 figures 

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Reduced order modeling with Barlow Twins self-supervised learning: Navigating the space between linear and nonlinear solution manifolds


Feb 11, 2022
Teeratorn Kadeethum, Francesco Ballarin, Daniel O'Malley, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon

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* arXiv admin note: text overlap with arXiv:2107.11460 

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Machine Learning in Heterogeneous Porous Materials


Feb 04, 2022
Marta D'Elia, Hang Deng, Cedric Fraces, Krishna Garikipati, Lori Graham-Brady, Amanda Howard, George Karniadakis, Vahid Keshavarzzadeh, Robert M. Kirby, Nathan Kutz, Chunhui Li, Xing Liu, Hannah Lu, Pania Newell, Daniel O'Malley, Masa Prodanovic, Gowri Srinivasan, Alexandre Tartakovsky, Daniel M. Tartakovsky, Hamdi Tchelepi, Bozo Vazic, Hari Viswanathan, Hongkyu Yoon, Piotr Zarzycki

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* The workshop link is: https://amerimech.mech.utah.edu 

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A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks


May 27, 2021
Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas

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Uncertainty Bounds for Multivariate Machine Learning Predictions on High-Strain Brittle Fracture


Dec 23, 2020
Cristina Garcia-Cardona, M. Giselle Fernández-Godino, Daniel O'Malley, Tanmoy Bhattacharya

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Reverse Annealing for Nonnegative/Binary Matrix Factorization


Jul 10, 2020
John Golden, Daniel O'Malley

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* 9 pages, 5 figures 

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Learning to regularize with a variational autoencoder for hydrologic inverse analysis


Jun 06, 2019
Daniel O'Malley, John K. Golden, Velimir V. Vesselinov

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Nonnegative/binary matrix factorization with a D-Wave quantum annealer


Apr 05, 2017
Daniel O'Malley, Velimir V. Vesselinov, Boian S. Alexandrov, Ludmil B. Alexandrov

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