Information Extraction from Literature for ORR Catalyst in Fuel Cell Hein Htet, Manae Hirano, Amgad Ahmed Ali Ibrahim, Yutaka Sasaki, Ryoji Asahi Computational Materials Science, 2026

GitHub

Full pipeline (RSC scraper + this model): https://github.com/upc-hub/FuelCell-IE-Pipeline

Entity Types

Type	Description	Example
`catalyst`	ORR catalyst material	Fe1Co2-ZNT-900
`support`	Catalyst support	carbon nanotube (CNT)
`additive`	Additive	KOH
`electrolyte`	Electrolyte	Nafion
`precursors`	Precursor material	ZIF-8
`other_material`	Other materials	Pt/C
`material_reference`	Reference material	commercial Pt/C
`property`	Physical/chemical property	half-wave potential
`structure`	Material structure	microporous
`process`	Synthesis/treatment process	pyrolysis
`condition`	Experimental condition	900 °C
`value`	Numerical value with unit	0.847 V

Relation Types

Type	Description
`related_to`	General relationship between entities
`equivalent`	Material equivalence (e.g. abbreviation ↔ full name)

Usage

See the GitHub repository for predict.py which downloads this model automatically.

bash

git clone https://github.com/upc-hub/FuelCell-IE-Pipeline.git
cd FuelCell-IE-Pipeline
conda env create -f environment.yml
conda activate dygiepp
python predict.py --input article.txt --output results/

Citation

bibtex

@article{htet2026fuelcell,
  title   = {Information Extraction from Literature for ORR Catalyst in Fuel Cell},
  author  = {Hein Htet and Manae Hirano and Amgad Ahmed Ali Ibrahim
             and Yutaka Sasaki and Ryoji Asahi},
  journal = {Computational Materials Science},
  year    = {2026}
}

UPC-HUB/fuelcell-ner-re

DyGIE++ Fuel Cell NER/RE Model

Paper

GitHub

Entity Types

Relation Types

Usage

Citation

UPC-HUB/
fuelcell-ner-re