Advances in natural fiber polymer and PLA composites through artificial intelligence and machine learning integration

• Published in: Journal of polymer research Vol. 32; no. 3
• Main Authors: Uddin, Md. Helal, Mulla, Mohammed Huzaifa, Abedin, Tarek, Manap, Abreeza, Yap, Boon Kar, Rajamony, Reji Kumar, Shahapurkar, Kiran, Khan, T. M. Yunus, Soudagar, Manzoore Elahi M., Nur-E-Alam, Mohammad
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.03.2025; Springer Nature B.V
• Subjects: Artificial intelligence; Automotive parts; Biomedical materials; Characterization and Evaluation of Materials; Chemistry; Chemistry and Materials Science; Composite materials; Industrial Chemistry/Chemical Engineering; Machine learning; Polylactic acid; Polymer Sciences; Polymers; Review Paper; Artificial Intelligence (AI); Machine Learning (ML); PLA; Natural fiber polymer; Optimization; Decarbonization

Natural Fibre Polymer (NFP) and Polylactic Acid (PLA) composites have received a lot of interest in a variety of sectors because they are environmentally friendly, renewable, and sustainable. Over the last decade, researchers have investigated the aspects of NFP/PLA composite development and optimiz...