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20202026
most citedSciANN: A Keras/Tensorflow wrapper for scientific computations and physics-informed deep learning using artificial neural networks

428 citations · 1.6k across the 21 of their papers we have counts for

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physics.geo-ph2026

Learning and Inferring Multiphase Flow Dynamics in Porous Media using Scientific Machine Learning: Application to the "FluidFlower" CO2 Injection Experiment

Hannah Lu, Lluis Salo-Salgado, Yun-Ting Chou +2

Accurate prediction and parameter identification of multiphase flow in porous media remain central challenges in geological carbon dioxide storage due to strong nonlinearities, hig…