Optimization and analysis of force field parameters by combination of genetic algorithms and neural networks
In search of a force field description for tripod metal templates, tripodM [tripod=RC(CH2X)(CH2Y)(CH2Z); X, Y, Z=PR′R″] force field parameters, p, were optimized by the use of genetic algorithms (GA) with...
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| Hauptverfasser: | , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
8 February 1999
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| In: |
Journal of computational chemistry
Year: 1999, Jahrgang: 20, Heft: 4, Pages: 455-471 |
| ISSN: | 1096-987X |
| DOI: | 10.1002/(SICI)1096-987X(199903)20:4<455::AID-JCC6>3.0.CO;2-1 |
| Online-Zugang: | Verlag, Volltext: http://dx.doi.org/10.1002/(SICI)1096-987X(199903)20:4<455::AID-JCC6>3.0.CO;2-1 Verlag, Volltext: http://onlinelibrary.wiley.com/doi/10.1002/(SICI)1096-987X(199903)20:4<455::AID-JCC6>3.0.CO;2-1/full 
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| Verfasserangaben: | J. Hunger, G. Huttner |
| Zusammenfassung: | In search of a force field description for tripod metal templates, tripodM [tripod=RC(CH2X)(CH2Y)(CH2Z); X, Y, Z=PR′R″] force field parameters, p, were optimized by the use of genetic algorithms (GA) with... |
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| Beschreibung: | Gesehen am 15.03.2018 |
| Beschreibung: | Online Resource |
| ISSN: | 1096-987X |
| DOI: | 10.1002/(SICI)1096-987X(199903)20:4<455::AID-JCC6>3.0.CO;2-1 |