Representing high-dimensional potential-energy surfaces for reactions at surfaces by neural networks

Chemical Physics Letters

Volumn 395, Issue 4-6, 2004, Pages 210-215

  Lorenz, Sönke ^a   Groß, Axel ^b   Scheffler, Matthias ^a  

^a FRITZ HABER INSTITUT DER MAX PLANCK GESELLSCHAFT   (Germany)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

HYDROGEN; LEAD; POTASSIUM;

ACCURACY; ADSORPTION; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL REACTION; COMPARATIVE STUDY; ENERGY; MATHEMATICAL COMPUTING; MOLECULAR DYNAMICS; PROBABILITY; PRODUCTIVITY; SIMULATION;

EID: 4444243883     PISSN: 00092614     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cplett.2004.07.076     Document Type: Article

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