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Gravity Entropy — Jupyter Notebooks Supporting "Gravity as an Entropic Gradient Field (Φₛ)"

Authors: Renato Henriques;

Gravity Entropy — Jupyter Notebooks Supporting "Gravity as an Entropic Gradient Field (Φₛ)"

Abstract

This repository contains the final, version-controlled Jupyter notebooks supporting the article: “Gravity as an Entropic Gradient Field (Φₛ)”Renato Henriques (2026). The notebooks implement numerical simulations, analytical validations, and predictive tests of the entropic gradient field framework, providing computational support for the theoretical results presented in the article. Included notebooks cover:• planetary magnetic dipole moment scaling,• solar and stellar magnetic cycles,• planetary magnetism (including Venus and Uranus),• relativistic corrections and perihelion precession,• saturation-driven field regularisation. Each notebook corresponds to specific sections of the article and includes simulation code, validation frameworks, and predictive models. All results are obtained without empirical fine-tuning and rely exclusively on the entropic field formalism developed in the accompanying work. For additional context and development history, see the project repository:https://github.com/Spartacus1/Gravity_Entropy

Related Organizations
Keywords

Entropic Gravity, Emergent spacetime, Stellar magnetic cycles, Gravitational theory, Computational physics, Vacuum structure, Planetary magnetism

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average