Articlenpj computational materials2023
A general-purpose material property data extraction pipeline from large polymer corpora using natural language processing.
Article in npj computational materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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The trial behind it
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Who cites it
29 citing papers in PubMed.
- Article
- Sustainable Polymer Aerogels: Multiscale Design from Biomass and Thermoset Networks to AI-Guided Materials Discovery.Gels (Basel, Switzerland) · 2026Review
- Carbon Quantum Dots-Enhanced Polyvinyl Alcohol: A Comprehensive Approach to Food Preservation.Comprehensive reviews in food science and food safety · 2026Review
- Challenges and Vision for Standardization of Biopolymer Data Sets for Machine Learning.Biomacromolecules · 2026Review
- Machine Learning-Empowered Electromagnetic Wave Absorbing Materials: From Forward Prediction to Generative Inverse Design.Molecules (Basel, Switzerland) · 2026Review
- Antimicrobial Systems Based on Essential Oils Advanced by Zinc Oxide Nanoparticles.ACS pharmacology & translational science · 2026Review
- A pretrained biomedical large language model for Persian biomedical text mining.Scientific reports · 2026Article
- System-level integration of halide perovskite optoelectronics for its commercial deployment.Nature communications · 2026Review
- DA-BioNER: data augmentation based on few-shot learning and distant supervision for biomedical named entity recognition.Bioinformatics (Oxford, England) · 2026Article
- Towards a sustainable high-quality materials data ecosystem: frameworks and strategies.National science review · 2026Review
- Large Language Models and Machine Learning Framework for Predicting Dental Ceramics Performance.International dental journal · 2026Article
- Physics-Embedded Neural Network: A Novel Approach to Design Polymeric Materials.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- The analysis of bidirectional long short-term memory network model for construction of cultural gene map and information extraction.Scientific reports · 2025Article
- Toward AI ecosystems for electrolyte and interface engineering in solid-state batteries.Science advances · 2025Review
- Graphene-Inspired Mono-Elemental 2D Materials: Synthesis, Properties, and Potential Applications of Xenes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Advances in medical devices using nanomaterials and nanotechnology: Innovation and regulatory science.Bioactive materials · 2025Review
- SciAgents: Automating Scientific Discovery Through Bioinspired Multi-Agent Intelligent Graph Reasoning.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- A keyword-based approach to analyzing scientific research trends: ReRAM present and future.Scientific reports · 2025Article
- Auto-generating a database on the fabrication details of perovskite solar devices.Scientific data · 2025Article
- A review of large language models and autonomous agents in chemistry.Chemical science · 2025Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ever-increasing number of materials science articles makes it hard to infer chemistry-structure-property relations from literature. We used natural language processing methods to automatically extract material property data from the abstracts of polymer literature. As a component of our pipeline, we trained MaterialsBERT, a language model, using 2.4 million materials science abstracts, which outperforms other baseline models in three out of five named entity recognition datasets. Using this pipeline, we obtained ~300,000 material property records from ~130,000 abstracts in 60 hours. The extracted data was analyzed for a diverse range of applications such as fuel cells, supercapacitors, and polymer solar cells to recover non-trivial insights. The data extracted through our pipeline is made available at polymerscholar.org which can be used to locate material property data recorded in abstracts. This work demonstrates the feasibility of an automatic pipeline that starts from published literature and ends with extracted material property information.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.