We perform research in theoretical chemistry, specifically classical and quantum statistical mechanics and machine learning methods applied to condensed phases.
We will be conducting a search at the assistant professor level this year for a faculty position at NYU in AI-enabled chemistry. If you know of anyone interested in applying (including yourself), the link to the application is here: https://t.co/5slp94Hofi
Our latest paper on quantum effects in proton transporting electrolytes (known as concentrated hydrogen-bonded electrolytes) shows how well equivariant transformer potentials can rationalize experiments: https://t.co/3p9rSrVowT
In our recent arXiv paper (https://t.co/BD4GAFRk3n), we illustrate the difficulties of using generative AI models for molecular crystal structure and polymorph prediction. Data remains a major challenge. We propose a solution, yet generative AI remains far from predictive.
I found this kind of cool. Any positive integer n can be expressed using only the number "2" three times using the following formula, where the number of square roots is equal to the desired integer n:
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. https://t.co/DebQKLYeOh
NYU's Quantum Institute (NYUQI) is announcing a new postdoctoral program. Check out the program description: https://t.co/WnuTBx381j, and apply here: https://t.co/sTfbWVq5wI
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: https://t.co/5J8EpwZxd4
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.
https://t.co/WhTYd6VLEM