Results: 3
Michele Tomasini, Maria Voccia, Lucia Caporaso, Michal Szostak, Albert Poater
Tuning the steric hindrance of alkylamines: a predictive model of steric editing of planar amines
Chem. Sci., 2024, 15, 13405-13414
DOI: 10.1039/D4SC03873HOpenAccess: LinkKeywords: Chemical bonding, Computational chemistry, Cross-coupling reactions, Machine learning, Organometallics
Sílvia Escayola, Naeimeh Bahri-Laleh, Albert Poater
%V Bur index and steric maps: from predictive catalysis to machine learning
Chem. Soc. Rev., 2024, 53, 853-882
DOI: 10.1039/D3CS00725AOpenAccess: –Keywords: Chemical bonding, Computational chemistry, Machine learning, Predictive Chemistry, Sustainable Catalysis
Sergei F. Vyboishchikov
Solvation Enthalpies and Free Energies for Organic Solvents through a Dense Neural Network: A Generalized-Born Approach
Liquids, 2024, 4, 525-538
DOI: 10.3390/liquids4030030OpenAccess: LinkKeywords: Machine learning, Method development