scholarly journals A machine learning based intramolecular potential for a flexible organic molecule

2020 ◽  
Vol 224 ◽  
pp. 247-264 ◽  
Author(s):  
Daniel J. Cole ◽  
Letif Mones ◽  
Gábor Csányi

Here, we employ the kernel regression machine learning technique to construct an analytical potential that reproduces the quantum mechanical potential energy surface of a small, flexible, drug-like molecule, 3-(benzyloxy)pyridin-2-amine.

2019 ◽  
Vol 21 (24) ◽  
pp. 13347-13355 ◽  
Author(s):  
Joaquin Espinosa-Garcia ◽  
Moises Garcia-Chamorro ◽  
Jose C. Corchado

Using as input data high-level structure electronic calculations, a new full-dimensional analytical potential energy surface (PES), named PES-2018, was developed for the title reaction, which is a valence bond/molecular mechanics based surface that depends on a set of adjustable parameters.


2010 ◽  
Vol 132 (7) ◽  
pp. 074108 ◽  
Author(s):  
Roberto Marquardt ◽  
Frédéric Cuvelier ◽  
Roar A. Olsen ◽  
Evert Jan Baerends ◽  
Jean Christophe Tremblay ◽  
...  

2002 ◽  
Vol 107 (3) ◽  
pp. 147-153 ◽  
Author(s):  
Xavier Prat-Resina ◽  
Mireia Garcia-Viloca ◽  
Gerald Monard ◽  
Angels González-Lafont ◽  
José M. Lluch ◽  
...  

2018 ◽  
Vol 20 (6) ◽  
pp. 3925-3938 ◽  
Author(s):  
Cipriano Rangel ◽  
Joaquin Espinosa-Garcia

Within the Born–Oppenheimer approximation a full-dimensional analytical potential energy surface, PES-2017, was developed for the gas-phase hydrogen abstraction reaction between the chlorine atom and ethane, which is a nine body system.


2009 ◽  
Vol 113 (52) ◽  
pp. 14952-14960 ◽  
Author(s):  
Jesús Pérez-Ríos ◽  
Massimiliano Bartolomei ◽  
José Campos-Martínez ◽  
Marta I. Hernández ◽  
Ramón Hernández-Lamoneda

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