A prospective on machine learning challenges, progress, and potential in polymer science
Daniel C. Struble,
Bradley G. Lamb,
Boran Ma
Abstract:Artificial intelligence and machine learning (ML) continue to see increasing interest in science and engineering every year. Polymer science is no different, though implementation of data-driven algorithms in this subfield has unique challenges barring widespread application of these techniques to the study of polymer systems. In this Prospective, we discuss several critical challenges to implementation of ML in polymer science, including polymer structure and representation, high-throughput techniques and lim… Show more
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