gorkemanil/Temperature-Prediction-of-Polymers-using-IR-Spectra-and-Fingerprint-Method: Initial Dataset Release for Infrared-Driven Polymer Intelligence

This release provides the dataset used in the research paper "Infrared-Driven Polymer Intelligence: Predicting Thermal Properties from Spectroscopy with Machine Learning".

The dataset includes:
- FTIR spectra of various polymers
- Associated thermal property labels (Tg, Tm)
- Data format: '.csv' files
- Sample preprocessing scripts and documentation

Keywords:
fingerprint descriptors, glass transition temperature prediction, infrared-based prediction, intelligent process control, machine learning, polymer

Cite this dataset as:
Al, G., 2025. gorkemanil/Temperature-Prediction-of-Polymers-using-IR-Spectra-and-Fingerprint-Method: Initial Dataset Release for Infrared-Driven Polymer Intelligence. Zenodo. Available from: https://doi.org/10.5281/zenodo.16024594.

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Creators

Gorkem Anil Al
University of Bath

Contributors

University of Bath
Rights Holder

Documentation

Data collection method:

Please see the associated paper.

Funders

Publication details

Publication date: 17 July 2025
by: Zenodo

Version: 1

DOI: https://doi.org/10.5281/zenodo.16024594

URL for this record: https://researchdata.bath.ac.uk/1571

Related papers and books

Al, G. A., Jafari, M., Martinez‐Hernandez, U., Leese, H. S., and Castro‐Dominguez, B., 2025. Infrared‐Driven Polymer Intelligence. Advanced Intelligent Systems. Available from: https://doi.org/10.1002/aisy.202500427.

Contact information

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

Contact person: Gorkem Anil Al

Departments:

Faculty of Engineering & Design
Chemical Engineering