Juno Nam
I’m a fourth-year PhD student in MIT DMSE, advised by Rafael Gómez-Bombarelli, and a part-time student researcher on the FAIR Chemistry team at Meta, working with Ben Miller.
I study atomic motion in molecules and materials using ML interatomic potentials, free energy methods, and generative modeling.
Selected Works
All publications-
Universal Thermodynamic Interatomic Potentials for Crystalline Materials
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Enhancing Diffusion-Based Sampling with Molecular Collective Variables
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Flow Matching for Accelerated Simulation of Atomic Transport in Crystalline Materials
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Interpolation and Differentiation of Alchemical Degrees of Freedom in Machine Learning Interatomic Potentials
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Transferable Learning of Reaction Pathways from Geometric Priors
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Learning Collective Variables with Synthetic Data Augmentation through Physics-Inspired Geodesic Interpolation
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Enhanced Sampling for Free Energy Profiles with Post-Transition-State Bifurcations