The Dynamic Polymer Annotated Library: An automated approach to curating materials science literature

Published

February 25, 2026

Author(s)

Kathryn Miller, Christopher Cooper

Abstract

It remains challenging to curate data about the design, properties, and applications for a given class of materials across thousands of papers to identify emerging trends and efficiently train new artificial intelligence (AI) models. Here, we present a universal strategy for the automated curation and analysis of an annotated library of over 105 identified papers focused on a specific class of materials. Our streamlined two-step review process begins with a traditional Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) scoping review to create a database of relevant papers. This is followed by an automated tagging procedure that annotates papers based on key molecular design features, properties, and applications. We demonstrate this approach on the emerging field of dynamic polymers by generating the Dynamic Polymer Annotated Library (DPAL) and analyzing it through example case studies. Our approach enables extraction of design-relevant information about the material structure, properties, and applications.

Citation

Matter

Pub Type

Journals

Download Paper

https://doi.org/10.1016/j.matt.2025.102624

Local Download

Keywords

materials informatics, dynamic polymers, automated data curation, field-level analysis, meta-review

Citation

Miller, K. and Cooper, C. (2026), The Dynamic Polymer Annotated Library: An automated approach to curating materials science literature, Matter, [online], https://doi.org/10.1016/j.matt.2025.102624, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=960348 (Accessed February 26, 2026)