Time-series profiling of structure–property relationships in biodegradable polymers via NMR-driven data science

Nature·Mar 13

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Research is being conducted on the properties and applications of biodegradable polymers, including their structure-property relationships. Studies are utilizing various methods, such as NMR-driven data science and machine learning, to analyze and optimize these materials. The focus of the research appears to be on developing biodegradable polymers for potential use in areas like drug delivery systems and marine environments.

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

Nature·Jun 18

Preparation, structure–property relationships, and applications of novel bio-based and biodegradable polyesteramide materials

Nature·Jun 16

Structure-Processing-Property Relationship of Poly(Glycolic Acid) for Drug Delivery Systems 1:Synthesis and Catalysis

Wiley Online Library·Dec 9

Improving the marine biodegradability of poly(alkylene succinate)-based copolymers

Nature·Jan 17