Author

Xin Ju

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#machine learning Preprint Oct 2026

PoreML: A Data-Driven Framework for Learning Multiphase Flow in Porous Media

Multiphase flow in porous microstructures is central to CO$_2$ storage, fuel-cell operation, and flip-chip packaging. Predicting these flows remains challenging because wettability and complex pore geometry govern the nonlinear evolution of fluid interfaces. Machine learning holds substantial promise for advancing the...

Chun-Yang Wang, Ming-Rui Zhang, Yu-Yan Zhang et al. · 0 citations

#machine learning Preprint Sep 2026

PosteriorBench: From Point Estimates to Posterior Matching in Evaluating Generative Inverse Solvers

Generative models are increasingly used to solve scientific inverse problems, but existing evaluations still focus primarily on whether a method can produce a single plausible reconstruction. This is insufficient for ill-posed problems, where multiple solutions may be consistent with the same sparse or noisy observatio...

Jia-Chen Yao, Zi-Siang Hsu, Xi Deng et al. · 0 citations