Automated Polymer Library for Materials Science Literature Curation

NIST Publications

Published February 25th, 2026

Detected February 27th, 2026

Summary

NIST has published a notice detailing an automated approach to curating materials science literature, specifically for dynamic polymers. This method aims to streamline data extraction for AI model training and trend identification in materials science research.

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What changed

The National Institute of Standards and Technology (NIST) has announced a new publication detailing an automated strategy for curating and analyzing materials science literature, focusing on dynamic polymers. This approach, demonstrated through the Dynamic Polymer Annotated Library (DPAL), uses a two-step process involving a scoping review and automated tagging to extract key design features, properties, and applications from over 105 identified papers. The goal is to facilitate the identification of emerging trends and improve the efficiency of training artificial intelligence models in materials science.

This publication serves as a notice of research findings and does not impose new regulatory obligations. However, researchers and institutions involved in materials science, particularly those utilizing AI for data analysis or working with dynamic polymers, may find the methodology and the DPAL itself valuable for their work. The document is available for download and reference, with the publication date of February 25, 2026.

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PUBLICATIONS

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 Polymers and Materials

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 27, 2026)