4 papers
PoreML: A Data-Driven Framework for Learning Multiphase Flow in Porous Media
Chunyang Wang, Mingrui Zhang, Yuyan Zhang +5
Multiphase flow in porous microstructures is central to CO storage, fuel-cell operation, and flip-chip packaging. Predicting these flows remains challenging because wettability…
PosteriorBench: From Point Estimates to Posterior Matching in Evaluating Generative Inverse Solvers
Jiachen Yao, Zi-Siang Hsu, Xi Deng +5
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 reco…
Function-Space Decoupled Diffusion for Forward and Inverse Modeling in Carbon Capture and Storage
Xin Ju, Jiachen Yao, Anima Anandkumar +2
Accurate characterization of subsurface flow is critical for Carbon Capture and Storage (CCS) but remains challenged by the ill-posed nature of inverse problems with sparse observa…
Adaptive Physics Transformer with Fused Global-Local Attention for Subsurface Energy Systems
Xin Ju, Nok Hei, Fung +6
The Earth's subsurface is a cornerstone of modern society, providing essential energy resources like hydrocarbons, geothermal, and minerals while serving as the primary reservoir f…