Molecular-dynamics-free extraction of the bonding dynamics in molten salt nuclear reactor simulants
Neural networks, genetic algorithms, simulations, oh my!
Joint Photon Sciences Institute
University of Massachusetts Lowell
University of Illinois Urbana-Champaign
Stony Brook University
Brookhaven National Lab
I use machine learning, simulation, and X-ray Absorption Spectroscopy to understand how complex materials function at the nanoscale, combining computational and experimental approaches to solve challenging research problems. I’m particularly interested in energy-related systems, such as nanocatalysts for efficient and sustainable chemistry, and molten salts for safer nuclear energy production.
Here are some recent projects that I'm proud of. If you find anything interesting, I would love to discuss, so feel free to reach out!
Neural networks, genetic algorithms, simulations, oh my!
We integrated machine-learned molecular dynamics simulations with X-ray absorption experiments, achieving quantum-level accuracy and up to six orders of magnitude faster computational experiments for materials modeling.
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Harvard SEAS
Energy Frontier Newsletter
Stony Brook University
Stony Brook University News
You can view or download my CV here.
You can view my Google Scholar profile and citations here.