Robert Pollice

Robert Pollice is a Lecturer at the Faculty of Science and Engineering, University of Groningen, specializing in Homogeneous Catalysis. His research integrates computational chemistry, machine learning, and automated experimentation to accelerate molecular design and catalyst development.

Research Interests focus on homogeneous catalysis, quantum chemistry, and machine learning applications. His work addresses challenges in reaction mechanism modeling, noncovalent interactions, and inverse molecular design, leveraging closed-loop optimization and large language models for chemical data analysis.

Publications span quantum chemical simulations, solvation energy calculations, excited state engineering, and automated catalyst discovery. His recent studies explore inverted singlet-triplet gaps, machine learning for reaction modeling, and SELFIES for molecular string representations.

Peer-review Contributions include evaluations for journals like Organic Process Research & Development, Materials Advances, and Chem, reflecting his expertise in catalysis, quantum chemistry, and AI-driven chemical discovery.