Paper
Published work.
Selected work on foundation models, neural operators, computational physics, and learning the dynamics from high-fidelity simulation.
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Function-Space Decoupled Diffusion for Forward and Inverse Modeling in Carbon Capture and Storage
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Adaptive Physics Transformer with Fused Global-Local Attention for Subsurface Energy Systems
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Learning CO2 plume migration in faulted reservoirs with Graph Neural Networks
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GEOS: A performance portable multi-physics simulation framework for subsurface applications
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Real-time high-resolution CO2 geological storage prediction using nested Fourier neural operators
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U-FNO — An enhanced Fourier neural operator-based deep-learning model for multiphase flow
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CCSNet: a deep learning modeling suite for CO2 storage
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Towards a predictor for CO2 plume migration using deep neural networks
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Simulation of coupled multiphase flow and geomechanics in porous media with embedded discrete fractures
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Gas production from hot water circulation through hydraulic fractures in methane hydrate-bearing sediments: THC-coupled simulation of production mechanisms
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A fully coupled method for massively parallel simulation of hydraulically driven fractures in 3-dimensions
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The influence of hydraulic fracturing on carbon storage performance