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Results: 323

Mayukh Bhadra, Therese Albert, Alicja Franke, Verena Josef, Ivana Ivanović-Burmazović, Marcel Swart, Pierre Moënne-Loccoz, Kenneth D. Karlin
Reductive Coupling of Nitric Oxide by Cu(I): Stepwise Formation of Mono- and Dinitrosyl SpeciesEn Route to a Cupric Hyponitrite Intermediate
J. Am. Chem. Soc., 2023, 145, 2230-2242
DOI: 10.1021/jacs.2c09874
Keywords: Computational chemistry, Reaction mechanisms, Spectroscopy, Homogeneous catalysis

Folorunsho Bright Omage, Andrea Madabeni, Amanda Resende Tucci, Pablo Andrei Nogara, Marco Bortoli, Alicedos Santos Rosa, Vivian Neuza dos Santos Ferreira, João Batista Teixeira Rocha, Milene Dias Miranda, Laura Orian
Diphenyl Diselenide and SARS-CoV-2:in silico Exploration of the Mechanisms of Inhibition of Main Protease (Mpro ) and Papain-like Protease (PLpro )
J. Chem. Inf. Model., 2023, 63, 2226-2239
DOI: 10.1021/acs.jcim.3c00168
Keywords: Computational chemistry

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.2c01212
Keywords: 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.2c01285
Keywords: Computational chemistry, Excited states, Machine learning, Method development, Spectroscopy

Pau Besalú-Sala, Fabien Bruneval, ÁngelJosé Pérez-Jiménez, JuanCarlos Sancho-García, Mauricio Rodríguez-Mayorga
RPA, an Accurate and Fast Method for the Computation of Static Nonlinear Optical Properties
J. Chem. Theory Comput., 2023, 19, 6062-6069
DOI: 10.1021/acs.jctc.3c00674
Keywords: Computational chemistry, Method development, Nonlinear optical properties

Shiyi Yang, Xiang Yu, Yaxu Liu, Michele Tomasini, Lucia Caporaso, Albert Poater, Luigi Cavallo, CatherineS.J. Cazin, StevenP. Nolan, Michal Szostak
Suzuki–Miyaura Cross-Coupling of Amides by N–C Cleavage Mediated by Air-Stable, Well-Defined [Pd(NHC)(sulfide)Cl] Catalysts: Reaction Development, Scope, and Mechanism
J. Org. Chem., 2023, 88, 10858-10868
DOI: 10.1021/acs.joc.3c00912
Keywords: Computational chemistry, Cross-coupling reactions, Homogeneous catalysis, Organometallics, Reaction mechanisms

Roger Monreal-Corona, Miquel Solà, Anna Pla-Quintana, Albert Poater
Stereoretentive Formation of Cyclobutanes from Pyrrolidines: Lessons Learned from DFT Studies of the Reaction Mechanism
J. Org. Chem., 2023, 88, 4619–4626
DOI: 10.1021/acs.joc.3c00080
Keywords: Computational chemistry, Density Functional Theory, Predictive Chemistry, Reaction mechanisms

Eduardo Jaimes-Romano, Hugo Valdés, Simon Hernández-Ortega, Rosa Mollfulleda, Marcel Swart, David Morales-Morales
C–S Couplings Catalyzed by Ni(II) Complexes of the Type [(NHC)Ni(Cp)(Br)]
Journal of Catalysis, 2023, 426, 247-256
DOI: 10.1016/j.jcat.2023.07.001
Keywords: Computational chemistry, Cross-coupling reactions, Homogeneous catalysis, Reaction mechanisms, Spin states

Samahe Sadjadi, Neda Abedian-Dehaghani, MajidM. Heravi, Xuemin Zhong, Peng Yuan, Josep Duran, Albert Poater, Naeimeh Bahri-Laleh
Clay-supported acidic ionic liquid as an efficient catalyst for conversion of carbohydrates to 5-hydroxymethylfurfural
Journal of Molecular Liquids, 2023, 382, 121847-
DOI: 10.1016/j.molliq.2023.121847
Keywords: Chemical bonding, Computational chemistry, Non-covalent interactions, Reaction mechanisms, Sustainable Catalysis

Arshia Dehghani, S. Sadra Mohammad Nafari, Naeimeh Bahri-Laleh, Leila Moballegh, Samahe Sadjadi, Mehrsa Emami, Montserrat Rodríguez-Pizarro, Albert Poater
Nano-scaled halloysite-supported dicationic ionic liquids as effective additives in the production of low viscosity polyalphaolefin oils by AlCl3 co-initiator
Journal of Molecular Liquids, 2023, 391, 123373-
DOI: 10.1016/j.molliq.2023.123373
Keywords: Chemical bonding, Computational chemistry, Predictive Chemistry, Sustainable Catalysis


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