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20182021
most citedDeep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media

365 citations · 913 across the 4 of their papers we have counts for

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physics.comp-ph2019★ 151 cited

Integration of adversarial autoencoders with residual dense convolutional networks for estimation of non-Gaussian hydraulic conductivities

Shaoxing Mo, Nicholas Zabaras, Xiaoqing Shi +1

Inverse modeling for the estimation of non-Gaussian hydraulic conductivity fields in subsurface flow and solute transport models remains a challenging problem. This is mainly due t…