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Volumn 131, Issue 3, 2012, Pages 1-16

Polarisable multipolar electrostatics from the machine learning method Kriging: An application to alanine

Author keywords

Atoms in molecules; Force field; Machine learning; Multipole moment; Polarisation; Quantum chemical topology

Indexed keywords


EID: 84856859897     PISSN: 1432881X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00214-012-1137-7     Document Type: Article
Times cited : (67)

References (81)
  • 32
    • 77949975511 scopus 로고    scopus 로고
    • Potential and algorithms for incorporating polarizability in computer simulations
    • K. B. Lipkowitz and D. B. Boyd (Eds.), New York: Wiley-VCH
    • Rick SW, Stuart SJ (2002) Potential and algorithms for incorporating polarizability in computer simulations. In: Lipkowitz KB, Boyd DB (eds) Reviews in computational chemistry, vol 18. Wiley-VCH, New York, pp 89-146.
    • (2002) Reviews in Computational Chemistry , vol.18 , pp. 89-146
    • Rick, S.W.1    Stuart, S.J.2
  • 69
    • 78449303701 scopus 로고    scopus 로고
    • GaussView3.0 Gaussian Inc, Pittsburgh
    • GaussView3. 0. (2003) Semichem Inc, Gaussian Inc, Pittsburgh.
    • (2003) Semichem Inc
  • 74
    • 84859104964 scopus 로고    scopus 로고
    • Marvin
    • Marvin (2010) 5. 3. 1 edn. ChemAxon (http://www. chemaxon. com).
    • (2010) 5.3.1 edn. ChemAxon


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.