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Volumn 17, Issue 13, 2015, Pages 8356-8371

Representing the potential-energy surface of protonated water clusters by high-dimensional neural network potentials

Author keywords

[No Author keywords available]

Indexed keywords

PROTON; WATER;

EID: 84925707827     PISSN: 14639076     EISSN: None     Source Type: Journal    
DOI: 10.1039/c4cp04751f     Document Type: Article
Times cited : (86)

References (89)
  • 79
    • 0000062957 scopus 로고    scopus 로고
    • CPMD, Copyright IBM Corp 1990-2008, Copyright MPI für Festkörperforschung Stuttgart 1997-2001
    • M. P. Hodges D. J. Wales Chem. Phys. Lett. 2000 324 279
    • (2000) Chem. Phys. Lett. , vol.324 , pp. 279
    • Hodges, M.P.1    Wales, D.J.2
  • 83
    • 84925719645 scopus 로고    scopus 로고
    • RuNNer-A Software Package for Constructing High-Dimensional Neural Network Potentials, Ruhr-Universität Bochum, 2007-2014
    • J. Behler, RuNNer-A Software Package for Constructing High-Dimensional Neural Network Potentials, Ruhr-Universität Bochum, 2007-2014
    • Behler, J.1
  • 89
    • 0002467378 scopus 로고    scopus 로고
    • The MD simulations have been carried out using the LAMMPS code (S. Plimpton, J. Comp. Phys., 1995), which has been extended by a NN potential module by Andreas Singraber, Computational Physics, University of Vienna, Austria
    • The MD simulations have been carried out using the LAMMPS code (S. Plimpton, J. Comp. Phys., 1995, 117, 1-19, http://lammps.sandia.gov), which has been extended by a NN potential module by Andreas Singraber, Computational Physics, University of Vienna, Austria
    • , vol.117 , pp. 1-19


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.