I am Juno Nam, a first 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 machine learning. I am trying to do enhanced sampling with myself on the landscape of computational materials research!
- Interpolation and differentiation of alchemical degrees of freedom in machine learning interatomic potentials
J. Nam and R. Gómez-Bombarelli, arXiv:2404.10746. [Preprint · Code] - Learning Collective Variables with Synthetic Data Augmentation through Physics-inspired Geodesic Interpolation
S. Yang*, J. Nam*, J. C. B. Dietschreit, and R. Gómez-Bombarelli, arXiv:2402.01542. [Preprint · Code] - Enhanced Sampling for Free Energy Profiles with Post-Transition-State Bifurcations
J. Nam and Y. Jung, J. Chem. Theory Comput. 19, 2735 (2023). [Paper · Preprint]