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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...
Autores principales: | Nakapraves, Siya, Warzecha, Monika, Mustoe, Chantal L., Srirambhatla, Vijay, Florence, Alastair J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
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 |
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