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Evolutionary Approach to Constructing a Deep Feedforward Neural Network for Prediction of Electronic Coupling Elements in Molecular Materials

[Image: see text] We present a general framework for the construction of a deep feedforward neural network (FFNN) to predict distance and orientation dependent electronic coupling elements in disordered molecular materials. An evolutionary algorithm automatizes the selection of an optimal architectu...

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Publicat a:J Chem Theory Comput
Autors principals: Çaylak, Onur, Yaman, Anil, Baumeier, Björn
Format: Artigo
Idioma:Inglês
Publicat: American Chemical Society 2019
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6581422/
https://ncbi.nlm.nih.gov/pubmed/30753071
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.jctc.8b01285
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