Ab initio potential-energy surfaces for complex, multichannel systems using modified novelty sampling and feedforward neural networks

Journal of Chemical Physics

Volumn 122, Issue 8, 2005, Pages

  Raff, L M ^a   Malshe, M ^b   Hagan, M ^b   Doughan, D I ^a   Rockley, M G ^a   Komanduri, R ^b  

^a OKLAHOMA STATE UNIVERSITY   (United States)

^b Oklahoma State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AB INITIO ENERGIES; MULTICHANNEL SYSTEMS; NANOMETRIC CUTTING; POTENTIAL ENERGY SURFACES;

CHEMICAL REACTIONS; COMPUTATIONAL METHODS; DATABASE SYSTEMS; ELECTRONIC STRUCTURE; INTERPOLATION; NEURAL NETWORKS; SAMPLING; SILICON;

POTENTIAL ENERGY;

EID: 22944464406     PISSN: 00219606     EISSN: None     Source Type: Journal    
DOI: 10.1063/1.1850458     Document Type: Article

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