Results: 3
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.70104OpenAccess: –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: 10.1063/5.0258496OpenAccess: LinkKeywords: 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.4c01545OpenAccess: LinkKeywords: Excited states, Method development, Nonlinear optical properties, Spectroscopy