Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties - researchr publication authors

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Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Nikolaos Bouklas, Hongkyu Yoon. Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties. Computers & Geosciences, 167:105212, 2022. [doi]

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