PI1M: A Benchmark Database for Polymer Informatics
Author:
Affiliation:
1. Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
2. Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
Publisher
American Chemical Society (ACS)
Subject
Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.0c00726
Reference29 articles.
1. Materials science with large-scale data and informatics: Unlocking new opportunities
2. Polymer Informatics: Opportunities and Challenges
3. James, G.; Witten, D.; Hastie, T.; Tibshirani, R. An Introduction to Statistical Learning; Springer: New York, 2013;Vol. 112, pp 3–7.
4. Machine learning in materials informatics: recent applications and prospects
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