Research

Multiscale mechanics, transport, and scientific AI for energy and Earth systems

GIL combines experiments, high-fidelity simulation, and machine learning to understand coupled processes from pores and fractures to reservoirs and engineered Earth systems.

How We Approach Complex Systems

Connecting physics, computation, and data across scales

Our research framework links fundamental mechanisms to predictive tools for subsurface energy and engineered Earth systems.
Multiscale Mechanics

Connect microcrack initiation and fracture evolution to reservoir- and system-scale mechanical response.

Coupled Transport

Resolve interacting deformation, fluid flow, heat transfer, and transport in porous and fractured media.

Scientific AI

Integrate physics-based simulation and machine learning for efficient prediction, optimization, and risk assessment.

Current Research

Five connected priorities shaping GIL’s present program

Explore the Evidence

Publications, software, and opportunities to collaborate

Follow the research into peer-reviewed publications and reusable computational tools, or contact GIL to discuss collaboration.