Results: 621
Tharinee Theerathanagorn, Anna Vidal-López, Aleix Comas-Vives, Albert Poater, Valerio D′ Elia
Cycloaddition of CO2 to epoxides “around water”: a strategy to apply and recycle efficient water-soluble bio-based organocatalysts in biphasic media
Green Chem., 2023, 25, 4336-4349
DOI: 10.1039/D2GC04589CKeywords: Chemical bonding, Homogeneous catalysis, Non-covalent interactions, Reaction mechanisms, Sustainable Catalysis
Ignacio Sancho, Marta Navarro, Marc Montilla, Pedro Salvador, Cristina Santamaría, Josep M. Luis, Alberto Hernán-Gómez
Ti(III) Catalysts for CO2 /Epoxide Copolymerization at Unusual Ambient Pressure Conditions
Inorg. Chem., 2023, 62, 14873-14887
DOI: 10.1021/acs.inorgchem.3c01249Keywords: Computational chemistry, Homogeneous catalysis, Joint Exp-Comp, Reaction mechanisms
JesúsAntonio Luque-Urrutia, Thalía Ortiz-García, Miquel Solà, Albert Poater
Green Energy by Hydrogen Production from Water Splitting, Water Oxidation Catalysis and Acceptorless Dehydrogenative Coupling
Inorganics, 2023, 11, 88-
DOI: 10.3390/inorganics11020088Keywords: Catalysis, Organometallics, Predictive Chemistry, Reaction mechanisms, Sustainable Catalysis
Sergei F. Vyboishchikov
A quick solvation energy estimator based on electronegativity equalization
J Comput Chem, 2023, 44, 307-318
DOI: 10.1002/jcc.26894Keywords: Computational chemistry, Method development
Jordi Poater, Sílvia Escayola, Albert Poater, Francesc Teixidor, Henrik Ottosson, Clara Viñas, Miquel Solà
Single─Not Double─3D-Aromaticity in an OxidizedCloso Icosahedral Dodecaiodo-Dodecaborate Cluster
J. Am. Chem. Soc., 2023, [], ASAP-
DOI: 10.1021/jacs.3c07335Keywords: Aromaticity, Chemical bonding, Excited states, Nanomaterials
Sergei F. Vyboishchikov
Dense Neural Network for Calculating Solvation Free Energies from Electronegativity-Equalization Atomic Charges
J. Chem. Inf. Model., 2023, 63, 6283-6292
DOI: 10.1021/acs.jcim.3c00922Keywords: Machine learning, Method development
Pau Besalú-Sala, Alexander A. Voityuk, Josep M. Luis, Miquel Solà
Effect of external electric fields in the charge transfer rates of donor–acceptor dyads: A straightforward computational evaluation
J. Chem. Phys, 2023, 158, 244111
DOI: 10.1063/5.0148941Keywords: Chemical bonding, Electron and energy transfer, Excited states, Method development, Photovoltaic materials
Carmelo Naim, Pau Besalú-Sala, Robert Zaleśny, Josep M. Luis, Frédéric Castet, Eduard Matito
Are Accelerated and Enhanced Wave Function Methods Accurate to Compute Static Linear and Nonlinear Optical Properties?
J. Chem. Theory Comput., 2023, 19, 1753-1764
DOI: 10.1021/acs.jctc.2c01212Keywords: Computational chemistry, Nonlinear optical properties, Spectroscopy
Elizaveta F. Petrusevich, Manon H. E. Bousquet, Borys Ośmiałowski, Denis Jacquemin, Josep M. Luis, Robert Zaleśny
Cost-Effective Simulations of Vibrationally-Resolved Absorption Spectra of Fluorophores with Machine-Learning-Based Inhomogeneous Broadening
J. Chem. Theory Comput., 2023, 19, 2304-2315
DOI: 10.1021/acs.jctc.2c01285Keywords: Computational chemistry, Excited states, Machine learning, Method development, Spectroscopy
Sergei F. Vyboishchikov
Predicting Solvation Free Energies Using Electronegativity-Equalization Atomic Charges and a Dense Neural Network: A Generalized-Born Approach
J. Chem. Theory Comput., 2023, 19, 8340-8350
DOI: 10.1021/acs.jctc.3c00858Keywords: Machine learning, Method development