An interdisciplinary team of CAMM IRG1 researchers including MRSEC supported graduate students in Chemistry, Physics, and Mathematics:
Built a helium-benzene interaction model using gold-standard quantum chemistry combined with novel multifidelity AI.
Reduced prediction error by 40% while preserving the correct short- and long-range physics.
Showed that current empirical models miss key helium adsorption behavior in quantum simulations.
Established a prototype AI workflow for that can extend to light atoms interacting with larger aromatic systems and graphene.
Publication
Accurate helium–benzene potential: From CCSD(T) to Gaussian process regression
The Journal of Chemical Physics
View Publication
Center for Advanced Materials & Manufacturing
CAMM at UT Knoxville, focuses on the exploration, discovery, and design of new materials with properties of critical societal importance for energy, transport, and security advancements.