Phenomenological Scale-Matching Formula for Biological Timescales in the TET Framework

This note presents a phenomenological formula that combines four length scales (Planck, biological, and cosmological-constant / Hubble) to produce a timescale of 25 milliseconds. The exponent that appears in the formula is related to a dimensionless negentropy parameter by taking its cube root. The construction is motivated by the Topological Entanglement Theory (TET) principle of entanglement minimisation, understood as an organising drive that selects and relates disparate scales rather than as a direct derivation of the formula itself.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-11
DOI
https://doi.org/10.5281/zenodo.24133097
Primary Topic
Advanced Mathematical Theories and Applications
Type
article
Field-Weighted Citation Impact
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article

Phenomenological Scale-Matching Formula for Biological Timescales in the TET Framework

Simon Soliman
Zenodo (CERN European Organization for Nuclear Research)
Advanced Mathematical Theories and Applications
article

Phenomenological Scale-Matching Formula for Biological Timescales in the TET Framework

Simon Soliman
article en

Abstract

This note presents a phenomenological formula that combines four length scales (Planck, biological, and cosmological-constant / Hubble) to produce a timescale of 25 milliseconds. The exponent that appears in the formula is related to a dimensionless negentropy parameter by taking its cube root. The construction is motivated by the Topological Entanglement Theory (TET) principle of entanglement minimisation, understood as an organising drive that selects and relates disparate scales rather than as a direct derivation of the formula itself.

Zenodo (CERN European Organization for Nuclear Research)
Advanced Mathematical Theories and Applications
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Phenomenological Scale-Matching Formula for Biological Timescales in the TET Framework — Simon Soliman · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS