Solvent selection for polymers enabled by generalized chemical fingerprinting and machine learning-Reference-Cited by-同舟云学术

Solvent selection for polymers enabled by generalized chemical fingerprinting and machine learning

Published:2022 Issue:43 Volume:24 Page:26547-26555
ISSN:1463-9076
Container-title:Physical Chemistry Chemical Physics
language:en
Short-container-title:Phys. Chem. Chem. Phys.

Author:

Kern Joseph¹^ORCID,Venkatram Shruti¹,Banerjee Manali¹,Brettmann Blair¹^ORCID,Ramprasad Rampi¹

Affiliation:

1. School of Materials Science and Engineering, College of Engineering, Georgia Institute of Technology, 771 Ferst Drive, J. Erskine Love Building, Atlanta, GA 30332-0245, USA

Abstract

We present machine learning models trained on experimental data to predict room-temperature solubility for any polymer–solvent pair.

Funder

Office of Naval Research

U.S. Department of Defense

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://pubs.rsc.org/en/content/articlepdf/2022/CP/D2CP03735A

Reference37 articles.

1. A review of polymer dissolution

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4. Effects of Polymers on the Drug Solubility and Dissolution Enhancement of Poorly Water-Soluble Rivaroxaban

5. Analytical and Computational Methods for the Estimation of Drug-Polymer Solubility and Miscibility in Solid Dispersions Development

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