160 citations · 162 across the 14 of their papers we have counts for
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Geometry-aware Latent Autoregressive Generative Model for PDEs in Complex Domains
Zi Wang, Minghui Xu, Tapan Mukerji
Solving multiphysics partial differential equations (PDEs) remains a major challenge in scientific computing, especially for highly complex m-scale tortuous geometries critical…
A convolutional neural network surrogate for hierarchical homogenization: fast elastic moduli prediction of digital rocks
Hanfeng Zhai, Rasool Ahmad, Tapan Mukerji +1
Digital rock physics (DRP) aims to estimate effective rock properties (e.g., elastic moduli) directly from 3D micro-CT images. However, direct numerical simulations (DNS) on high-r…
FMSIM: A Multimodal Flow Matching Framework for Conditional Geomodeling
Jiayuan Huang, Suihong Song, Tapan Mukerji
Subsurface geomodeling plays a critical role in reservoir characterization, uncertainty quantification, and subsurface flow prediction. However, integrating heterogeneous sources o…
DiffSIM: Unconditional and conditional facies simulation based on denoising diffusion generative models
Minghui Xu, Suihong Song, Tapan Mukerji
Constructing subsurface facies models that are geologically plausible and constrained by well facies is essential for analyzing sedimentary evolution, reservoir characterization, a…