CodeEntropy: A Python Package for Multiscale Cell Correlation Entropy Estimation from Molecular Dynamics Simulations
Authors
Lead author and software development, Scientific Computing Department, STFC Daresbury Laboratory, Warrington WA4 4AD
Software development, validation, theoretical development and author, Scientific Computing Department, STFC Daresbury Laboratory, Warrington WA4 4AD
Software development, validation, data analysis and author, School of Mathematical and Physical Sciences, University of Sheffield
Software development, validation, theoretical development and author, Scientific Computing Department, STFC Daresbury Laboratory, Warrington WA4 4AD
Project conceptualisation and leadership, theory development, testing and author, School of Public Health, University of Sydney
Project conceptualisation and leadership, theory development, testing and author at School of Mathematical and Physical Sciences, University of Sheffield
Project management, leadership and author, Scientific Computing Department, STFC Daresbury Laboratory, Warrington WA4 4AD
DOI: https://doi.org/10.5334/jors.741 | Journal eISSN: 2049-9647
Language: English
Page range: 55 - 55
Submitted on: May 13, 2026
Accepted on: Jul 7, 2026
Published on: Jul 20, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2026 Harry Swift, Jas Kalayan, Ioana A. Papa, Sarah K. Fegan, Richard H. Henchman, Sarah A. Harris, James Gebbie-Rayet, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.