Predicting potentially hazardous chemical reactions using an explainable neural network

Predicting potentially dangerous chemical reactions is a critical task for laboratory safety. However, a traditional experimental investigation of reaction conditions for possible hazardous or explosive byproducts entails substantial time and cost, for which machine learning prediction could acceler...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Juhwan, Gu, Geun Ho, Noh, Juhwan, Kim, Seongun, Gim, Suji, Choi, Jaesik, Jung, Yousung
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/PMC8386654/
https://www.ncbi.nlm.nih.gov/pubmed/34522300
http://dx.doi.org/10.1039/d1sc01049b

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386654/
https://www.ncbi.nlm.nih.gov/pubmed/34522300
http://dx.doi.org/10.1039/d1sc01049b

Ejemplares similares