Bayesian optimization of biodegradable polymers via machine learning driven features from low-field NMR data

Bayesian optimization of biodegradable polymers via machine learning driven features from low-field NMR data

Abstract Effective designs of biodegradable polymers are highly desirable for achieving a sustainable society by decreasing environmental burden and replacing petroleum-based resources with biomass. Low-field NMR is one of the candidate techniques because it provides information on the higher-order...

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Bibliographic Details
Main Authors: Ryo Fujita, Yoshifumi Amamoto, Jun Kikuchi
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:npj Materials Degradation
Online Access:https://doi.org/10.1038/s41529-025-00613-7
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