I am Juno Nam, a second-year PhD student in MIT DMSE & CCSE, advised by Prof. Rafael Gómez-Bombarelli. I work on dynamics-aware materials design, using molecular dynamics, free energy methods, and generative models. I am trying to do enhanced sampling with myself on the landscape of computational materials research!
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learningmatter-mit/alchemical-mlip
learningmatter-mit/alchemical-mlip PublicAlchemical machine learning interatomic potentials
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learningmatter-mit/geodesic-interpolation-cv
learningmatter-mit/geodesic-interpolation-cv PublicGeodesic interpolation for collective variables
Jupyter Notebook 3
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reaction-translation
reaction-translation Publicorganic chemistry reaction prediction using NMT
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luigibonati/mlcolvar
luigibonati/mlcolvar PublicA unified framework for machine learning collective variables for enhanced sampling simulations
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learningmatter-mit/NeuralForceField
learningmatter-mit/NeuralForceField PublicNeural Network Force Field based on PyTorch
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