Predicting Solubility Limits of Organic Solutes for a Wide Range of Solvents and Temperatures

Machine Learning for Pharmaceutical Discovery and Synthesis Consortium (MLPDS), DARPA Accelerated Molecular Discovery program (DARPA HR00111920025)

Bibliographic Details
Main Authors:	Vermeire, Florence H. (Author), Chung, Yunsie (Author), Green, William H. (Author)
Format:	Article
Language:	English
Published:	American Chemical Society (ACS), 2022-06-21T15:23:31Z.
Subjects:	Article
Online Access:	Get fulltext


LEADER	00722 am a22001693u 4500
001	143488
042			\|a dc
100	1	0	\|a Vermeire, Florence H. \|e author
700	1	0	\|a Chung, Yunsie \|e author
700	1	0	\|a Green, William H. \|e author
245	0	0	\|a Predicting Solubility Limits of Organic Solutes for a Wide Range of Solvents and Temperatures
260			\|b American Chemical Society (ACS), \|c 2022-06-21T15:23:31Z.
856			\|z Get fulltext \|u https://hdl.handle.net/1721.1/143488
520			\|a Machine Learning for Pharmaceutical Discovery and Synthesis Consortium (MLPDS), DARPA Accelerated Molecular Discovery program (DARPA HR00111920025)
655	7		\|a Article
773			\|t 10.1021/jacs.2c01768
773			\|t Journal of the American Chemical Society

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