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Results: 86

Sergei F. Vyboishchikov
Atomic Neural Network for Calculation of Solvation Free Energies in Organic Solvents
J Comput Chem, 2025, 46, e70104
DOI: 10.1002/jcc.70104
OpenAccess: –
Keywords: Machine learning, Method development

Evert Jan Baerends, Nestor F. Aguirre, Nick D. Austin, Jochen Autschbach, F. Matthias Bickelhaupt, Rosa Bulo, Chiara Cappelli, Adri C. T. van Duin, Franco Egidi, Célia Fonseca Guerra, Arno Förster, Mirko Franchini, Theodorus P. M. Goumans, Thomas Heine, Matti Hellström, Christoph R. Jacob, Lasse Jensen, Mykhaylo Krykunov, Erik van Lenthe, Artur Michalak, Mariusz M. Mitoraj, Johannes Neugebauer, Valentin Paul Nicu, Pier Philipsen, Harry Ramanantoanina, Robert Rüger, Georg Schreckenbach, Mauro Stener, Marcel Swart, Jos M. Thijssen, Tomás Trnka, Lucas Visscher, Alexei Yakovlev, Stan van Gisbergen
The Amsterdam Modeling Suite
J. Chem. Phys., 2025, 162, 162501
DOI: 10.1063/5.0258496
OpenAccess: Link
Keywords: Computational chemistry, Machine learning, Method development, Spectroscopy

Rudraditya Sarkar, Carmelo Naim, Karan Ahmadzadeh, Robert Zaleśny, Denis Jacquemin, Josep M. Luis
Simulations of Two-Photon Absorption Spectra of Fluorescent Dyes: The Impact of Non-Condon Effects
J. Chem. Theory Comput., 2025, 21, 3587-3599
DOI: 10.1021/acs.jctc.4c01545
OpenAccess: Link
Keywords: Excited states, Method development, Nonlinear optical properties, Spectroscopy

Luis Leyva-Parra, Ricardo Pino-Rios, Diego Inostroza, Miquel Solà, Mercedes Alonso, William Tiznado
Aromaticity and Magnetic Behavior in Benzenoids: Unraveling Ring Current Combinations
Chemistry A European J, 2024, 30, e202302415
DOI: 10.1002/chem.202302415
OpenAccess: –
Keywords: Aromaticity, Chemical bonding, Method development

Joan Grèbol-Tomàs, Eduard Matito, Pedro Salvador
Can Aromaticity be Evaluated Using Atomic Partitions based on the Hilbert‐space?
Chemistry A European J, 2024, 30, e202401282
DOI: 10.1002/chem.202401282
OpenAccess: Link
Keywords: Aromaticity, Computational chemistry, Method development

Pedro Salvador, E. Ramos-Cordoba, M. Montilla, L. Pujal, M. Gimferrer
APOST-3D: Chemical concepts from wavefunction analysis
J. Chem. Phys., 2024, 160, 172502
DOI: 10.1063/5.0206187
OpenAccess: –
Keywords: Chemical bonding, Computational chemistry, Method development, Real-space analysis

Sebastian P. Sitkiewicz, Rubén R. Ferradás, Eloy Ramos-Cordoba, Robert Zaleśny, Eduard Matito, Josep M. Luis
Spurious Oscillations Caused by Density Functional Approximations: Who is to Blame? Exchange or Correlation?
J. Chem. Theory Comput., 2024, 20, 3144-3153
DOI: 10.1021/acs.jctc.3c01339
OpenAccess: Link
Keywords: Computational chemistry, Method development, Nonlinear optical properties, Spectroscopy

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/liquids4030030
OpenAccess: Link
Keywords: Machine learning, Method development

Marcel Swart, Marc Reimann
A benchmark study of dioxygen complexes based on coupled cluster and density functional theory
SciPost Chem., 2024, 3, 001
DOI: 10.21468/SciPostChem.3.1.001
OpenAccess: Link
Keywords: Computational chemistry, Method development, Predictive Chemistry, Spectroscopy

JesusVicente de Julián-Ortiz, Emili Besalú
Application of SSIR Method for the Design of Fungicides
Applied Sciences, 2023, 13, 1122-
DOI: 10.3390/app13021122
OpenAccess: Link
Keywords: Computational chemistry, Method development, Predictive Chemistry