Prediction of Mefenamic Acid Crystal Shape by Random Forest Classification

OBJECTIVE: Particle shape can have a significant impact on the bulk properties of materials. This study describes the development and application of machine-learning models to predict the crystal shape of mefenamic acid recrystallized from organic solvents. METHODS: Crystals were grown in 30 differe...

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Detalles Bibliográficos
Autores principales: Nakapraves, Siya, Warzecha, Monika, Mustoe, Chantal L., Srirambhatla, Vijay, Florence, Alastair J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780130/
https://www.ncbi.nlm.nih.gov/pubmed/36534313
http://dx.doi.org/10.1007/s11095-022-03450-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780130/
https://www.ncbi.nlm.nih.gov/pubmed/36534313
http://dx.doi.org/10.1007/s11095-022-03450-4

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