Results: 6
Michele Tomasini, Michal Szostak, Albert Poater
Machine Learning in Predicting Activation Barrier Energy of C=N Bond Rotation in Amides
Asian J Org Chem, 2025, 14, e202400749
DOI: 10.1002/ajoc.202400749OpenAccess: LinkKeywords: Computational chemistry, Machine learning, Organometallics, Predictive Chemistry, Reaction mechanisms
Michele Tomasini, Lucia Caporaso, Michal Szostak, Albert Poater
Towards the activity of twisted acyclic amides
RSC Adv., 2025, 15, 8207-8212
DOI: 10.1039/D5RA00229JOpenAccess: LinkKeywords: Chemical bonding, Computational chemistry, Cross-coupling reactions, Predictive Chemistry, Reaction mechanisms
Michele Tomasini, Tainah Dorina Marforio, Matteo Calveresi, Albert Poater, Jordi Poater
Computational Insights into the Regioselectivity of 1,3-Dipolar Cycloadditions inside Carbon Nanotubes
J. Phys. Chem. C, 2024, 128, 14961-14971
DOI: 10.1021/acs.jpcc.4c03830OpenAccess: LinkKeywords: Chemical bonding, Confined space, Nanomaterials, Non-covalent interactions, Predictive Chemistry
Jonathan Trouvé, Purushothaman Rajeshwaran, Michele Tomasini, Antoine Perennes, Thierry Roisnel, Albert Poater, Rafael Gramage-Doria
Fast and Selective β-C–H Borylation of N-Heterocycles with a Supramolecular Iridium Catalyst: Circumventing Deactivation Pathways and Mechanistic Insights
ACS Catal., 2023, 13, 7715-7729
DOI: 10.1021/acscatal.3c01742OpenAccess: –Keywords: Chemical bonding, Computational chemistry, Non-covalent interactions, Predictive Chemistry, Reaction mechanisms
Michele Tomasini, Jin Zhang, Hui Zhao, Emili Besalú, Laura Falivene, Lucia Caporaso, Michal Szostak, Albert Poater
A predictive journey towardstrans -thioamides/amides
Chem. Commun., 2022, 58, 9950-9953
DOI: 10.1039/D2CC04228BOpenAccess: –Keywords: Chemical bonding, Computational chemistry, Predictive Chemistry, Reaction mechanisms, Sustainable Catalysis
Saleh Yousefi, Naeimeh Bahri-Laleh, Mehdi Nekoomanesh, Mehrsa Emami, Samahe Sadjadi, Seyed Amin Mirmohammadi, Michele Tomasini, Eduard Bardají, Albert Poater
An efficient initiator system containing AlCl3 and supported ionic-liquid for the synthesis of conventional grade polyisobutylene in mild conditions
Journal of Molecular Liquids, 2022, [], 120381-
DOI: 10.1016/j.molliq.2022.120381OpenAccess: –Keywords: Catalysis, Computational chemistry, Organometallics, Predictive Chemistry, Sustainable Catalysis