Results: 153
Michele Tomasini, Lucia Caporaso, Martí Gimferrer, Albert Poater
On the use of chemical bonding descriptors in machine learning
Coordination Chemistry Reviews, 2026, 550, 217383-
DOI: 10.1016/j.ccr.2025.217383OpenAccess: LinkKeywords: Chemical bonding, Computational chemistry, Homogeneous catalysis, Predictive Chemistry, Reaction mechanisms
Artur Brotons Rufes, Sergio Posada Pérez, Albert Poater
DFT in catalysis: Complex equations for practical computing applications in chemistry
Digital Chemical Engineering, 2026, 18, 100285-
DOI: 10.1016/j.dche.2025.100285OpenAccess: LinkKeywords: Chemical bonding, Computational chemistry, Non-covalent interactions, Predictive Chemistry
Mostafa Ahmadi, Yasothaa Thavayogarajah, Josep Duran, Albert Poater, Sebastian Seiffert
Reconfigurable Transient Polymer Networks Based on Heteroleptic Metal–Ligand Complexes
ACS Appl. Polym. Mater., 2025, 7, 16427-16433
DOI: 10.1021/acsapm.5c03436OpenAccess: LinkKeywords: Computational chemistry, Joint Exp-Comp, Ligand design, Non-covalent interactions, Sustainable Catalysis
Miguel Martinez‐Fernandez, MdBin Yeamin, David Dalmau, Jorge J. Carbó, Albert Poater, Juan V. Alegre‐Requena
Data‐Driven Analysis of Ni‐Catalyzed Semihydrogenations of Alkynes
Adv Synth Catal, 2025, 5, 656-658
DOI: 10.1002/adsc.202401444OpenAccess: –Keywords: Computational chemistry, Homogeneous catalysis, Machine learning, Predictive Chemistry, Reaction mechanisms
Roger Monreal-Corona, Lole Jurado, Hiroya Ishikawa, Martí Gimferrer, Albert Poater, Luis F. Bobadilla, M. Rosa Axet, Sergio Posada-Pérez
Computational and experimental insights into single-atom catalysts supported on g-C3N4: Unraveling the superior stability and catalytic activity of Rh in hydroformylation reactions
Applied Surface Science, 2025, 698, 163050-
DOI: 10.1016/j.apsusc.2025.163050OpenAccess: LinkKeywords: Computational chemistry, Joint Exp-Comp, Nanomaterials, Predictive Chemistry, Reaction mechanisms
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
Zhen Cao, Laura Falivene, Albert Poater, Bholanath Maity, Ziyung Zhang, Gentoku Takasao, SadeedBin Sayed, Andrea Petta, Giovanni Talarico, Romina Oliva, Luigi Cavallo
COBRA web application to benchmark linear regression models for catalyst optimization with few-entry datasets
Cell Reports Physical Science, 2025, 6, 102348-
DOI: 10.1016/j.xcrp.2024.102348OpenAccess: –Keywords: Chemical bonding, Computational chemistry, Joint Exp-Comp, Machine learning, Predictive Chemistry
Shiyi Yang, Tongliang Zhou, Xiang Yu, Albert Poater, Josep Duran, Maciej Spiegel, Luigi Cavallo, Steven P. Nolan, Michal Szostak
Late-stage functionalization of pharmaceuticals by C–C cross-coupling enabled by wingtip-flexible N-heterocyclic carbenes
Chem Catalysis, 2025, 5, 101297-
DOI: 10.1016/j.checat.2025.101297OpenAccess: –Keywords: Chemical bonding, Computational chemistry, Cross-coupling reactions, Homogeneous catalysis, Joint Exp-Comp
Artur Brotons-Rufes, Sergio Posada-Pérez, JuanPablo Martínez, Steven P. Nolan, Albert Poater
Challenges in olefin metathesis: past, present and future
Coordination Chemistry Reviews, 2025, 542, 216827-
DOI: 10.1016/j.ccr.2025.216827OpenAccess: LinkKeywords: Computational chemistry, Homogeneous catalysis, Organometallics, Predictive Chemistry, Reaction mechanisms
Roger Monreal-Corona, Nicolas Joly, Sylvain Gaillard, Jean-Luc Renaud, Marc Valero, Enric Mayolas, Anna Pla-Quintana, Albert Poater
Mechanism and optimization of ruthenium-catalyzed oxalamide synthesis using DFT
Dalton Trans., 2025, 54, 1655-1664
DOI: 10.1039/D4DT03182BOpenAccess: LinkKeywords: Chemical bonding, Computational chemistry, Predictive Chemistry, Reaction mechanisms