Computational screening for prediction of co-crystals: method comparison and experimental validation

CrystEngComm, 2024, Advance Article DOI: 10.1039/D3CE01252B, PaperFateme Molajafari, Tianrui Li, Mehrnaz Abbasichaleshtori, Moein Hajian Z. D., Anthony F. Cozzolino, Daniel R. Fandrick, Joshua D. Howe COSMO-RS and machine learning-based models can reduce the cost of screening and identifying crystal coformers, facilitating discovery of new cocrystals. To cite this article before page numbers are assigned, use the DOI form of citation above. The content of this RSS Feed (c) The Royal Society of Chemistry
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