1 citations · 1 across the 4 of their papers we have counts for
4 papers
AutoSurrogate: An LLM-Driven Multi-Agent Framework for Autonomous Construction of Deep Learning Surrogate Models in Subsurface Flow
Jiale Liu, Nanzhe Wang
High-fidelity numerical simulation of subsurface flow is computationally intensive, especially for many-query tasks such as uncertainty quantification and data assimilation. Deep l…
INSPATIO-WORLD: A Real-Time 4D World Simulator via Spatiotemporal Autoregressive Modeling
InSpatio Team, Donghui Shen, Guofeng Zhang +20
Building world models with spatial consistency and real-time interactivity remains a fundamental challenge in computer vision. Current video generation paradigms often struggle wit…
Bayesian Full-waveform Monitoring of CO2 Storage with Fluid-flow Priors via Generative Modeling
Haipeng Li, Nanzhe Wang, Louis J. Durlofsky +1
Quantitative monitoring of subsurface changes is essential for ensuring the safety of geological CO2 sequestration. Full-waveform monitoring (FWM) can resolve these changes at high…
Deep Learning Framework for History Matching CO2 Storage with 4D Seismic and Monitoring Well Data
Nanzhe Wang, Louis J. Durlofsky
Geological carbon storage entails the injection of megatonnes of supercritical CO2 into subsurface formations. The properties of these formations are usually highly uncertain, whic…