Michele Pavanello
Professor

Leading PRG since 2012
Leading PRG since 2012
Subsystem TDDFT and machine learning electronic structures of excited states
TDDFT and machine learning for plasmonics
Working on embedding, static correlation and machine learning 2-rdms
Working on orbital-free DFT and embedding machine learning 1-rdms
Allie is working on applying the exact electron factorization to develop orbital-free kinetic energy functionals
Pseudopotentials for Orbital-Free DFT
Working on time-dependent subsystem DFT
Xin worked on a novel QM/MM implementation based on subsystem DFT