We perform research in theoretical chemistry, specifically classical and quantum statistical mechanics and machine learning methods applied to condensed phases.
We were pleased to contribute to the J. Chem. Phys. Festschrift dedicated to my former classmate at Columbia, MIT Prof. Jianshu Cao, an amazing and accomplished scientist. pubs.aip.org/aip/jcp/article…
Really enjoyed participating in the NATO conference on anion exchange membranes at the Technion last November. Exciting conference in the beautiful city of Haifa.
Check out our paper on an Automated Machine Learning Pipeline: Large Language Models-Assisted Automated Data set Generation for Training Machine-Learned Interatomic Potentials | Journal of Chemical Theory and Computation
Our new paper on proton and proton-electron transport in structured organic electrolytes just appeared in PNAS. Fantastic collaboration between theory and experiment in our EFRC with simulations driven by ML: pnas.org/doi/10.1073/pnas.25…
Our contribution to the Parrinello Festschrift and also the first publication from the Einstein Fellowship; on organic electrolytes supporting Grotthuss charge transport with significant nuclear quantum effects.
pubs-aip-org.ezproxy.med.nyu…
Our paper on point-cloud autoencoders for representing molecules in molecular crystals (including conformation and pose) for downstream (of CSP) proper learning tasks is now published.
doi.org/10.1088/2632-2153/ad…
We were pleased to contribute to the special issue celebrating the 70th birthday of my colleague Zlatko Bacic. Our contribution focuses on generalizing ring-polymer contraction to open chains and staging transformations: tandfonline.com/doi/full/10.…
Our new paper in Comms Chem paper explores how small modifications in drug molecules affect properties that influence their efficacy and the role molecular simulation can play in elucidating these effects: rdcu.be/eznSi
In 2023, we published this article on our ufedmm branch of openMM implementing enhanced sampling techniques: onlinelibrary.wiley.com/doi/… . We are now organizing a tutorial for late August on how to use these tools. If you're interested, please apply here: forms.gle/NyUUJYJVbWu6u9sC7
It's always a pleasure to be back at NYU Shanghai and to see great colleagues and friends again. This summer was a school we taught on AI for molecular science, which was attended by undergraduates and graduate students alike.
Nadya Mason, dean of the Pritzker School of Engineering at U. Chicago gave a terrific interview with Physics World Weekly on research at the PME. The podcast also has an interview with Jeffrey Spangenberger at ANL on battery recycling. Great listening: podcasts.apple.com/us/podcas…