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Targeted free energy estimation via learned mappings
Wirnsberger, Peter, Ballard, Andrew J., Papamakarios, George, Abercrombie, Stuart, Racanière, Sébastien, Pritzel, Alexander, Jimenez Rezende, Danilo, Blundell, Charles
Published in The Journal of chemical physics (14.10.2020)
Published in The Journal of chemical physics (14.10.2020)
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Grand-canonical approach to density functional theory of electrocatalytic systems: Thermodynamics of solid-liquid interfaces at constant ion and electrode potentials
Melander, Marko M., Kuisma, Mikael J., Christensen, Thorbjørn Erik Køppen, Honkala, Karoliina
Published in The Journal of chemical physics (28.01.2019)
Published in The Journal of chemical physics (28.01.2019)
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Perspective: Kohn-Sham density functional theory descending a staircase
Yu, Haoyu S., Li, Shaohong L., Truhlar, Donald G.
Published in The Journal of chemical physics (07.10.2016)
Published in The Journal of chemical physics (07.10.2016)
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Simple model for the electric field and spatial distribution of ions in a microdroplet
Chamberlayne, Christian F., Zare, Richard N.
Published in The Journal of chemical physics (14.05.2020)
Published in The Journal of chemical physics (14.05.2020)
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Committee neural network potentials control generalization errors and enable active learning
Schran, Christoph, Brezina, Krystof, Marsalek, Ondrej
Published in The Journal of chemical physics (14.09.2020)
Published in The Journal of chemical physics (14.09.2020)
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Comparison of permutationally invariant polynomials, neural networks, and Gaussian approximation potentials in representing water interactions through many-body expansions
Nguyen, Thuong T., Székely, Eszter, Imbalzano, Giulio, Behler, Jörg, Csányi, Gábor, Ceriotti, Michele, Götz, Andreas W., Paesani, Francesco
Published in The Journal of chemical physics (28.06.2018)
Published in The Journal of chemical physics (28.06.2018)
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Long-range correlation energy calculated from coupled atomic response functions
Ambrosetti, Alberto, Reilly, Anthony M., DiStasio, Robert A., Tkatchenko, Alexandre
Published in The Journal of chemical physics (14.05.2014)
Published in The Journal of chemical physics (14.05.2014)
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Predicting molecular dipole moments by combining atomic partial charges and atomic dipoles
Veit, Max, Wilkins, David M., Yang, Yang, DiStasio, Robert A., Ceriotti, Michele
Published in The Journal of chemical physics (14.07.2020)
Published in The Journal of chemical physics (14.07.2020)
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Machine learning of molecular properties: Locality and active learning
Gubaev, Konstantin, Podryabinkin, Evgeny V., Shapeev, Alexander V.
Published in The Journal of chemical physics (28.06.2018)
Published in The Journal of chemical physics (28.06.2018)
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Operators in quantum machine learning: Response properties in chemical space
Christensen, Anders S., Faber, Felix A., von Lilienfeld, O. Anatole
Published in The Journal of chemical physics (14.02.2019)
Published in The Journal of chemical physics (14.02.2019)
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NECI: N-Electron Configuration Interaction with an emphasis on state-of-the-art stochastic methods
Guther, Kai, Anderson, Robert J., Blunt, Nick S., Bogdanov, Nikolay A., Cleland, Deidre, Dattani, Nike, Dobrautz, Werner, Ghanem, Khaldoon, Jeszenszki, Peter, Liebermann, Niklas, Manni, Giovanni Li, Lozovoi, Alexander Y., Luo, Hongjun, Ma, Dongxia, Merz, Florian, Overy, Catherine, Rampp, Markus, Samanta, Pradipta Kumar, Schwarz, Lauretta R., Shepherd, James J., Smart, Simon D., Vitale, Eugenio, Weser, Oskar, Booth, George H., Alavi, Ali
Published in The Journal of chemical physics (21.07.2020)
Published in The Journal of chemical physics (21.07.2020)
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