ChemPix: automated recognition of hand-drawn hydrocarbon structures using deep learning

Inputting molecules into chemistry software, such as quantum chemistry packages, currently requires domain expertise, expensive software and/or cumbersome procedures. Leveraging recent breakthroughs in machine learning, we develop ChemPix: an offline, hand-drawn hydrocarbon structure recognition too...

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Detalles Bibliográficos
Autores principales: Weir, Hayley, Thompson, Keiran, Woodward, Amelia, Choi, Benjamin, Braun, Augustin, Martínez, Todd J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2021
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365825/
https://www.ncbi.nlm.nih.gov/pubmed/34447555
http://dx.doi.org/10.1039/d1sc02957f

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365825/
https://www.ncbi.nlm.nih.gov/pubmed/34447555
http://dx.doi.org/10.1039/d1sc02957f

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