Artificial intelligence in advanced polymer manufacturing

Read full text
Authors: Jihua Chen, Rigoberto Advincula
Cited by: 1
References: 77

Abstract

Artificial intelligence (AI) is currently transforming the polymer lifecycle, from materials discovery and design to manufacturing and recycling processes. In this review, we will discuss the undergoing paradigm shift from conventional labor-intensive processes to machine learning and data-driven automation, including the key machine learning models and techniques being applied across diverse areas of polymer science and engineering. Significant limitations and opportunities in AI-driven polymer manufacturing exist in data availability and model interpretability.

Fields of Study & Subjects

Machine Learning in Materials Science Injection Molding Process and Properties Industrial Vision Systems and Defect Detection

Publication details

Journal / source
MRS Communications
Publisher
Springer Science and Business Media LLC
Volume
16
Issue
4
Pages
931–942
Publication date
30 April 2026
Language
EN