Artificial intelligence/machine learning of polymer materials and discovery chemistry

Research output: Contribution to journalReview articlepeer-review

Abstract

Artificial intelligence (AI) and machine learning (ML) approaches are increasingly applied to various science and engineering areas to innovate with enhanced efficiencies and productivity. This article discusses some of the progress in polymer materials and discovery chemistry facilitated by AI/ML, with a focus on (1) AI/ML for polymers and chemistry, (2) polymerization methods and flow chemistry, (3) three-dimensional printing and AI/ML, (4) self-driving laboratories and workflows, (5) large language models and algorithms, and (6) simulations.

Original languageEnglish
Pages (from-to)1364-1375
Number of pages12
JournalMRS Bulletin
Volume50
Issue number11
DOIs
StatePublished - Nov 2025

Funding

This work was supported by the Center for Nanophase Materials Sciences (CNMS), which is a US Department of Energy, Office of Science User Facility at Oak Ridge National Laboratory, and Laboratory Directed R&D (ORNL INTERSECT). R.C.A. acknowledges support from the University of Tennessee, Governor’s Chair funds.

Keywords

  • 3D printing
  • Artificial intelligence
  • Chemical synthesis
  • Polymers
  • Simulations

Fingerprint

Dive into the research topics of 'Artificial intelligence/machine learning of polymer materials and discovery chemistry'. Together they form a unique fingerprint.

Cite this