Research Data Leeds Repository
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Supporting data for "Using Neural Networks to Deduce Polymer Molecular Weight Distributions from Linear Rheology"
Citation
Elliott, Robert J., Cutillo, Luisa, Chinmay, Das, Mattsson, Johan and Read, Daniel J. (2025) Supporting data for "Using Neural Networks to Deduce Polymer Molecular Weight Distributions from Linear Rheology". University of Leeds. [Dataset] https://doi.org/10.5518/1689
Dataset description
Supporting data sufficient to reproduce the results of the related publication. The goal of the work is to predict the molecular weight distribution from the linear melt rheology of polystyrene. This dataset includes testing data, python code, neural network models, and data used to setup conda environment for smooth running of python code.
| Divisions: | Faculty of Engineering and Physical Sciences > School of Mathematics | ||||||
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| License: | Creative Commons Attribution 4.0 International (CC BY 4.0) | ||||||
| Date deposited: | 19 Jun 2025 14:22 | ||||||
| URI: | https://archive.researchdata.leeds.ac.uk/id/eprint/1428 | ||||||
Files
Documentation
Data_Sources.txt [1kB]  |
README_Elliott-etal_2025.txt [4kB] |
Data_Sources.txt [1kB] 
Data_Sources.txt [1kB] Data
GPC_Data.zip [23kB] |
NN_Models.zip [294MB] |
Rheo_Data.zip [18kB] |
conda_env_PS.yml [326B] |
Program
PS_MWD_Prediction_UPDATED.py [11kB] |