Affiliation:
1. Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ, USA
Abstract
In this work, we present, evaluate, and analyze strategies for representing polymer chemistry to machine learning models for the advancement of data-driven sequence or composition design of macromolecules.
Funder
National Science Foundation
Publisher
Royal Society of Chemistry (RSC)
Subject
Materials Chemistry,Industrial and Manufacturing Engineering,Process Chemistry and Technology,Energy Engineering and Power Technology,Biomedical Engineering,Chemical Engineering (miscellaneous),Chemistry (miscellaneous)
Cited by
44 articles.
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