Emerging trends in machine learning: a polymer perspective

TB Martin, DJ Audus - ACS Polymers Au, 2023 - ACS Publications
In the last five years, there has been tremendous growth in machine learning and artificial
intelligence as applied to polymer science. Here, we highlight the unique challenges …

Machine learning in soft matter: from simulations to experiments

K Zhang, X Gong, Y Jiang - Advanced Functional Materials, 2024 - Wiley Online Library
Soft matter with diverse functionalities that are easily designable has fascinated tremendous
research interests in the past several decades. Nevertheless, the inherent confluence of time …

Artificial Intelligence for Conjugated Polymers

Q Yang, A Vriza, CA Castro Rubio, H Chan… - Chemistry of …, 2024 - ACS Publications
Conjugated polymers have garnered significant attention due to their diverse applications in
electronics, photonics, and energy storage. However, realizing their full potential poses a …

Integrating machine learning in the coarse-grained molecular simulation of polymers

E Ricci, N Vergadou - The Journal of Physical Chemistry B, 2023 - ACS Publications
Machine learning (ML) is having an increasing impact on the physical sciences,
engineering, and technology and its integration into molecular simulation frameworks holds …

Machine Learning in Polymer Research

W Ge, R De Silva, Y Fan, SA Sisson… - Advanced …, 2025 - Wiley Online Library
Abstract Machine learning is increasingly being applied in polymer chemistry to link
chemical structures to macroscopic properties of polymers and to identify chemical patterns …

Melt instability identification using unsupervised machine learning algorithms

A Gansen, J Hennicker, C Sill, J Dheur… - Macromolecular …, 2023 - Wiley Online Library
In industrial extrusion processes, increasing shear rates can lead to higher production rates.
However, at high shear rates, extruded polymers and polymer compounds often exhibit melt …