Energy storage, computational materials, electrochemistry, ML
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Research integrates first-principles simulation, machine-learning interatomic potentials, and cluster expansion/Monte Carlo to model interfaces, ion transport, and phase stability in battery materials and electrolytes—informing sustainable energy storage and green-solvent design.
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