Literature DB >> 26587758

Automatized Parameterization of DFTB Using Particle Swarm Optimization.

Chien-Pin Chou1, Yoshifumi Nishimura1, Chin-Chai Fan1, Grzegorz Mazur2, Stephan Irle, Henryk A Witek1.   

Abstract

We present a novel density-functional tight-binding (DFTB) parametrization toolkit developed to optimize the parameters of various DFTB models in a fully automatized fashion. The main features of the algorithm, based on the particle swarm optimization technique, are discussed, and a number of initial pilot applications of the developed methodology to molecular and solid systems are presented.

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Year:  2015        PMID: 26587758     DOI: 10.1021/acs.jctc.5b00673

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  3 in total

1.  Curvature Constrained Splines for DFTB Repulsive Potential Parametrization.

Authors:  Akshay Krishna Ammothum Kandy; Eddie Wadbro; Bálint Aradi; Peter Broqvist; Jolla Kullgren
Journal:  J Chem Theory Comput       Date:  2021-02-19       Impact factor: 6.006

2.  Density-functional tight-binding for phosphine-stabilized nanoscale gold clusters.

Authors:  Van Quan Vuong; Jenica Marie L Madridejos; Bálint Aradi; Bobby G Sumpter; Gregory F Metha; Stephan Irle
Journal:  Chem Sci       Date:  2020-11-02       Impact factor: 9.825

3.  Density-functional tight-binding: basic concepts and applications to molecules and clusters.

Authors:  Fernand Spiegelman; Nathalie Tarrat; Jérôme Cuny; Leo Dontot; Evgeny Posenitskiy; Carles Martí; Aude Simon; Mathias Rapacioli
Journal:  Adv Phys X       Date:  2020-02-18
  3 in total

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