Dataset for "From FTIR Spectra to Gas Permeability: Machine Learning for Polymer Membrane Screening"

This dataset contains gas permeability measurements and ATR-FTIR spectroscopy data for 204 pure dense polymer membranes, compiled to support machine learning prediction of membrane transport properties. The dataset is intended for researchers working on data-driven prediction of polymer membrane properties, cheminformatics, and structure-property relationships in membrane science.

Keywords:
Gas separations, FTIR spectroscopy, Machine learning, Gradient boosting, Polymer membranes
Subjects:
Process engineering

Cite this dataset as:
Jafari, M., 2026. Dataset for "From FTIR Spectra to Gas Permeability: Machine Learning for Polymer Membrane Screening". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01709.

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Data

Dataset.csv
text/csv (24kB)
Creative Commons: Attribution 4.0

Polymer data

graphs.csv
text/csv (7kB)
Creative Commons: Attribution 4.0

Spectrum-to-polymer mapping

Code

Gas_Permeability … Pipeline.ipynb
application/json (38kB)
Creative Commons: Attribution 4.0

Jupyter notebook containing machine learning pipeline

Creators

Mehryar Jafari
University of Bath

Contributors

Bernardo Castro Dominguez
Supervisor
University of Bath

University of Bath
Rights Holder

Documentation

Data collection method:

Permeability values (Barrer) for six gases (He, H2, CO2, N2, O2, CH4) were sourced from peer-reviewed literature and are provided alongside polymer names, SMILES strings, elemental composition, glass transition temperature, melting temperature, morphological category (amorphous or semi-crystalline), and chemical family classification across 11 classes. A total of 860 ATR-FTIR absorbance spectra are included as individual CSV files, each containing wavenumber (cm-1) and absorbance (arbitrary units) columns covering approximately 400 to 4000 cm-1. A mapping file links each spectrum to its corresponding polymer entry. All polymers are pure homopolymers; blends, copolymers, and composites are not included. Not all polymers have permeability measurements for all six gases.

Documentation Files

README.pdf
application/pdf (101kB)
Creative Commons: Attribution 4.0

Funders

UK Research and Innovation
https://doi.org/10.13039/100014013

DTP 2022-2024 University of Bath
EP/W524712/1

Publication details

Publication date: 9 September 2026
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-01709

URL for this record: https://researchdata.bath.ac.uk/1709

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Mehryar Jafari

Departments:

Faculty of Engineering & Design
Chemical Engineering

Research Centres & Institutes
Centre for Digital, Manufacturing & Design (The Foundry)