Mission
We develop multiscale experimental technologies and physics-informed generative AI models to understand, reconstruct, and control geomaterials under deep-Earth and deep-space conditions. Our research interests include:
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Developing an advanced microscale rock mechanics experiment system to investigate the coupled chemo-mechanical evolution of rock-forming minerals under extreme conditions.
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Developing physics-informed generative AI algorithms to construct high-fidelity digital rocks under data-scarce conditions. Physics-based simulations and monitoring feedback are incorporated into a closed-loop framework to continuously refine these models and improve predictions of mechanical behaviour.
Breakthroughs in these areas could enable broad applications in planetary exploration, well-log interpretation, intelligent excavation, hydraulic fracturing design, geological carbon dioxide storage, and geologic hydrogen development.
