GIOVANNIMARIA PICCINI

Giovannimaria Piccini serves as an Associate Professor in the Department of Chemical and Geological Sciences at the University of Modena and Reggio Emilia (UNIMORE). His academic profile centers on advanced computational approaches to physical chemistry problems, with a particular focus on molecular dynamics simulations and free energy calculations applied to catalytic systems. His current teaching responsibilities include Physical Chemistry I, Physical Chemistry of Natural Systems, and Physical Chemistry of Catalysis for undergraduate and graduate programs in Chemistry and Chemical Sciences.

Dr. Piccini's research interests span multiple sophisticated areas of computational chemistry, with emphasis on supramolecular catalysis, enzyme mechanisms, and molecular dynamics simulations. His work demonstrates particular expertise in developing and applying advanced computational methodologies for studying complex chemical systems. His research bridges theoretical chemistry with practical applications in biocatalysis, materials science, and drug development. A distinctive feature of his approach involves the development of innovative computational protocols that achieve high accuracy while maintaining computational feasibility, as evidenced by his work on free energy calculations and enhanced sampling techniques.

Analysis of his recent publications (2022-2025) reveals a strong research trajectory focused on supramolecular systems, particularly molecular capsules and their catalytic applications. His work demonstrates increasing sophistication in computational methods while maintaining relevance to pressing environmental and biomedical challenges, such as plastic degradation and drug permeation. The interdisciplinary nature of his research connects physical chemistry with biochemistry, materials science, and organic synthesis, highlighting his ability to bridge theoretical and applied domains.

Dr. Piccini has established productive collaborations with researchers across multiple institutions, as evidenced by his extensive publication record with international co-authors. His work frequently appears in high-impact journals, demonstrating recognition within the computational chemistry community. His ORCID identifier (0000-0002-3511-4281) documents his substantial scholarly output spanning from fundamental methodological developments to applied studies in catalysis and biophysics.