General Method for the Identification of Crystal Faces Using Raman Spectroscopy Combined with Machine Learning and Application to the Epitaxial Growth of Acetaminophen
Author:
Affiliation:
1. Department of Chemical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
Funder
Novartis-MIT Center for Continuous Manufacturing
Publisher
American Chemical Society (ACS)
Subject
Electrochemistry,Spectroscopy,Surfaces and Interfaces,Condensed Matter Physics,General Materials Science
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.langmuir.8b01791
Reference53 articles.
1. The Prediction, Morphology, and Mechanical Properties of the Polymorphs of Paracetamol
2. Steady State Morphologies of Paracetamol Crystal from Different Solvents
3. Modeling the Crystal Morphology of α-lactose Monohydrate
4. Crystal engineering of ibuprofen compounds: From molecule to crystal structure to morphology prediction by computational simulation and experimental study
5. AFM study of hydrophilicity on acetaminophen crystals
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