Research Data Leeds Repository

Citation

Elliott, Robert J., Cutillo, Luisa, Mattsson, Johan and Read, Daniel J. (2026) Supporting data for "Universal prediction of molecular weight distribution for entangled linear polymers from linear rheology using neural networks". University of Leeds. [Dataset] https://doi.org/10.5518/1799

Dataset description

Supporting data for the related publication. The goal of the work is to predict the molecular weight distribution from the linear melt rheology of linear flexible polymers. This dataset includes testing data, and the results from the associated article can be reproduced with use of a GUI software tool available at https://github.com/py19rje/MWD-Inference-GUI. This GitHub repository contains documentation for set up and a user manual to enable result recreation and further use.

Subjects:	F000 - Physical sciences > F100 - Chemistry > F160 - Organic chemistry > F162 - Polymer chemistry H000 - Engineering > H100 - General engineering > H140 - Mechanics > H141 - Fluid mechanics I000 - Computer sciences > I400 - Artificial intelligence > I430 - Neural computing I000 - Computer sciences > I400 - Artificial intelligence > I460 - Machine learning
Divisions:	Faculty of Engineering and Physical Sciences > School of Mathematics
Related resources:	Location Type https://github.com/py19rje/MWD-Inference-GUI Software
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	19 Aug 2026 14:34
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1614
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Elliott, Robert J. https://orcid.org/0009-0005-4718-2002 University of Leeds https://ror.org/024mrxd33 ror DPI (Dutch Polymer Institute) https://ror.org/01m71fs94 ror Cutillo, Luisa https://orcid.org/0000-0002-2205-0338 University of Leeds https://ror.org/024mrxd33 ror Mattsson, Johan https://orcid.org/0000-0001-7057-2192 University of Leeds https://ror.org/024mrxd33 ror Read, Daniel J. https://orcid.org/0000-0003-1194-9273 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: Dutch Polymer Institute Grant numbers: 861 Publication date: 2026 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: py19rje@leeds.ac.uk Last Modified: 24 Aug 2026 09:18

Files

Documentation

Data_Sources.xlsx [16kB] Data_Sources.xlsx [16kB] Data_Sources.xlsx [16kB] Security: Anyone File name: Data_Sources.xlsx Content type: Documentation Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 16kB

README_Elliott-etal_2026.txt [4kB] README_Elliott-etal_2026.txt [4kB] README_Elliott-etal_2026.txt [4kB] Security: Anyone File name: README_Elliott-etal_2026.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 4kB

Data

MWD_Data.zip [180kB] MWD_Data.zip [180kB] MWD_Data.zip [180kB] Security: Anyone File name: MWD_Data.zip Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 180kB

Rheology_Data.zip [58kB] Rheology_Data.zip [58kB] Rheology_Data.zip [58kB] Security: Anyone File name: Rheology_Data.zip Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 58kB