Estimating the Relative Crystallinity of Biodegradable Polylactic Acid and Polyglycolide Polymer Composites by Machine Learning Methodologies

Estimating the Relative Crystallinity of Biodegradable Polylactic Acid and Polyglycolide Polymer Composites by Machine Learning Methodologies

Biodegradable polymers have recently found significant applications in pharmaceutics processing and drug release/delivery. Composites based on poly (L-lactic acid) (PLLA) have been suggested to enhance the crystallization rate and relative crystallinity of pure PLLA polymers. Despite the large amoun...

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Bibliographic Details
Main Authors: Jing Wang, Mohamed Arselene Ayari, Amith Khandakar, Muhammad E. H. Chowdhury, Sm Ashfaq Uz Zaman, Tawsifur Rahman, Behzad Vaferi
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Polymers
Subjects:
polylactic acid
polyglycolide
biodegradable composite
relative crystallinity
machine learning methods
Online Access:https://www.mdpi.com/2073-4360/14/3/527

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