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Published April 17, 2025 | Version v0.0.0
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Research data supporting: "Maximum Information Extraction From Noisy Data Via Shannon Entropy Minimization"

  • 1. Politecnico di Torino

Description

# Research data supporting: "Maximum Information Extraction From Noisy Data Via Shannon Entropy Minimization"

* `Fig1/` contains the datasets, trajectory and code for the analyses shown in Fig1. 
* `Fig2/` contains the code for the analyses shown in Fig2 and FigS1. 
* `Fig3/` contains the trajectory and code for the analyses shown in Fig3 and FigS3. 
* `Fig3_3D_case/` contains the trajectory and code for the gray curves in Fig3 (3D case). 
* `FigS2/` contains the datasets and code for the analyses shown in FigS2. 

Files

max_info_extraction.zip

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Additional details

Related works

Is supplement to
Preprint: 10.48550/arXiv.2504.12990 (DOI)

Funding

European Commission
DYNAPOL – Modeling approaches toward bioinspired dynamic materials 818776

Software

Repository URL
https://github.com/GMPavanLab/dynsight
Programming language
Python