
CrystEngComm, 2017, 19, 5336 – 5340 [ doi:10.1039/C7CE00587C ]
A data-driven approach to predicting co-crystal formation reduces the number of experiments required to successfully produce new co-crystals. A machine learning algorithm trained on an in-house set of co-crystallization experiments results in a 2.6-fold enrichment of successful co-crystal formation in a ranked list of … Read the rest



 J. Chem. Inf. Model., 2016, 56 (12), 2347–2352 doi:
J. Chem. Inf. Model., 2016, 56 (12), 2347–2352 doi: 




