Data and Codes for "Predicting Copolymer Critical Parameters with a Theory-Integrated Neural Network"

Akkiraju, Amala ; Panagiotopoulos, Athanassios
Issue date: 2025
Rights:
 GNU General Public License (GPLv3) Creative Commons Attribution 4.0 International (CC BY)
Cite as:
Akkiraju, Amala & Panagiotopoulos, Athanassios. (2025). Data and Codes for "Predicting Copolymer Critical Parameters with a Theory-Integrated Neural Network" [Data set]. Version 1. Princeton University. https://doi.org/10.34770/gp3g-1m25
@electronic{akkiraju_amala_2025,
  author      = {Akkiraju, Amala and
                Panagiotopoulos, Athanassios},
  title       = {{Data and Codes for "Predicting Copolymer
                 Critical Parameters with a Theory-Integ
                rated Neural Network"}},
  version     = 1,
  publisher   = {{Princeton University}},
  year        = 2025,
  url         = {https://doi.org/10.34770/gp3g-1m25}
}
Description:

This collection provides computer codes and numerical data described in the paper entitled "Predicting Copolymer Critical Parameters with a Theory-Integrated Neural Network." It includes example input files, codes to perform simulations, Jupyter notebooks to analyze data, and a spreadsheet summarizing the results obtained from the simulations.

Show More
More about this record
Authors Akkiraju, Amala
Panagiotopoulos, Athanassios
Domains Engineering
Communities Chemical and Biological Engineering
Issue date 2025
Date Created 2025-10-01
Date Modified 2025-10-06
Version 1
URI https://doi.org/10.34770/gp3g-1m25
Publisher Princeton University
Type Dataset
Funders Princeton Center for Complex Materials, DMR-2011750
NSF GRFP, DGE-2039656
Show More