Efficient Machine Learning Prediction of Solvation Thermodynamics
TS-071267 — The Need
Modeling solvent effects on catalytic surfaces is critical for designing industrial processes like biomass conversion, fuel synthesis, and electrocatalysis. Traditional multiscale simulations combining density functional theory (DFT) and molecular dynamics (MD) offer accuracy but are comp…
- College: College of Engineering (COE)
- Inventors: Getman, Rachel; Punyapu, Rohit; Shi, Jiexin
- Licensing Officer: Randhawa, Davinder