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A deep neural network model for packing density predictions and its application in the study of 1.5 million organic molecules

The process of developing new compounds and materials is increasingly driven by computational modeling and simulation, which allow us to characterize candidates before pursuing them in the laboratory. One of the non-trivial properties of interest for organic materials is their packing in the bulk, w...

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Detalles Bibliográficos
Autores principales: Afzal, Mohammad Atif Faiz, Sonpal, Aditya, Haghighatlari, Mojtaba, Schultz, Andrew J., Hachmann, Johannes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Royal Society of Chemistry 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6855195/
https://www.ncbi.nlm.nih.gov/pubmed/31762970
http://dx.doi.org/10.1039/c9sc02677k