Energy & Intelligence Lab

What do we do

We fuse the fundamentals of physics and deep learning to develop next-generation computational methods, tackling multiscale physicochemical systems that span from nanometers to kilometers in space and from nanoseconds to years in time. Through intelligent computation, we aim to push the boundaries of energy, environment, geoscience, and materials science.

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Our Research Focus

Intelligence Across Scales to Guide Innovations

Nano-Scale

Understanding atomic interactions and quantum effects to drive novel material behavior

Micro-Scale

Understanding structural features and particle-level dynamics that govern comples interactions

Meso-Scale

Understanding collective dynamics and emergent patterns that bridge micro and macro structural evolution

Macro-Scale

Understanding bulk behavior through continuum approximations that emerge from lower-scale interactions

Computational Approaches

We combine physics-based modeling, machine learning, and multiscale algorithms to solve complex problems in energy, materials, and environmental systems.

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Classical Solvers

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SciML Solvers

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Hybrid Solvers

Join Our Group

We combine physics-based modeling, machine learning, and multiscale algorithms to solve complex problems in energy, materials, and environmental systems.

PostDoc Fellows

Lead breakthrough research, mentor future scientists, and shape the frontier of intelligent multiscale modeling.

Graduate Students

Build deep expertise, explore cutting-edge methods, and drive innovation in multiscale computational science and engineering.

Undergraduate

Discover research early, learn powerful tools, and contribute meaningfully to real-world scientific challenges.