Scholar
Juno Nam
Google Scholar ID: xY8pXzUAAAAJ
Massachusetts Institute of Technology
Citations & Impact
Citations
153
H-index
5
i10-index
3
Publications
15
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Enhancing Diffusion-Based Sampling with Molecular Collective Variables
- Flow Matching for Accelerated Simulation of Atomic Transport in Crystalline Materials
- Interpolation and Differentiation of Alchemical Degrees of Freedom in Machine Learning Interatomic Potentials
- Transferable Learning of Reaction Pathways from Geometric Priors
- Think while You Generate: Discrete Diffusion with Planned Denoising
- Learning Collective Variables with Synthetic Data Augmentation through Physics-Inspired Geodesic Interpolation
Research Experience
- PhD Candidate at MIT DMSE & CCSE; Part-Time Student Researcher on the FAIR Chemistry team at Meta.
Education
- PhD Candidate at MIT DMSE & CCSE, advised by Prof. Rafael Gómez-Bombarelli, currently in the third year.
Background
- Studies how atoms move and rest, striving to turn their patterns into things built to last. Technically, works on ML interatomic potentials, free energy methods, and generative modeling to understand and design molecules and materials.
Co-authors