In this new preprint, we show how iodide polarization fluctuations enhance Ag⁺ diffusion—linking molten salt dynamics to the “electronic paddle-wheel” in superionic solids.
https://t.co/imgCqf9u56
New preprint with Colin Hylton-Farrington on halide perovskites - lone pair-induced off-centering and octahedral tilting are not coupled 👀
https://t.co/kExThDnR9M
Our new work 🚀 in @rcremsing lab highlights how electronic paddlewheels modulate time-dependent friction, impacting diffusion in solid-state ionic conductors: https://t.co/GbA5Qz6IYB
#compchem#MaterialsScience#MachineLearning
Gfortpy by Robert Farmer enables Python >= 3.7 to call Fortran code compiled by gfortran >= 8 by reading the .mod files it creates. You only need to have your code in a module and compiled as a shared library, with no annotations or other changes needed. https://t.co/9GEjyCURTn
.@HSDhattarwal and Prof. Hemant K. Kashyap assessed the capacitive performance of combination two of the best electrolytes: Ionic liquids and Water-in-salt electrolytes using constant potential simulations.
https://t.co/2wX4doSjLt
I am recruiting PhD students @PrincetonCS interested in ML applications in bio!
Our group aims to define new problems for AI in molecular & structural bio. We work at the intersection of many areas incl 3D vision & generative modeling for proteins. Plus we make useful tools!❄️🐉
Our recent work in @rcremsing’s lab explores the coordination between anion rotation and cation diffusion, aka paddle-wheels, in monatomic solid state electrolytes
Latest from @HSDhattarwal, with former undergrad Rahul, bridges ion conduction mechanisms in molecular and monatomic solid-state electrolytes with electronic paddle-wheels 🔋🏓🛞
https://t.co/S6riIJYiyF
Check out our latest publication on long-range ML molecular dynamics. Our SCFNN model learn relevant physics behind electric response and accurately predicts dielectric saturation at higher fields. #compchem#MachineLearning#neuralnetworks@JPhysChem
https://t.co/Qy3IewKkqU
Very happy that our @JPhysChem B perspective on modeling long range interactions with LMF theory is out now! 😁
https://t.co/k4bboYZ1FQ
We discuss intuitive ways to address challenges with Coulomb interactions while gaining physical insight
I have a JRF/SRF position to work on ML and DFT modeling of molecules/materials. A background (BS-MS/M.Sc./B.Tech) in chemistry/physics/biology/bioinformatics is required. Please contact me at [email protected] for more details.