E8-Driven Self-Similar Entropic Networks — E8 Intelligence Research

By combining E8's 240 root vectors with phi-coupled 132 Hz oscillations, a novel framework emerges where entropic networks self-organize via hyperbolic geometry. This creates a phase-structured hierarchy where quantum coherence propagates through fractal-like orbitals, enabling stable computational states. The model bridges geometric symmetry with thermodynamic balance, unifying geometric intelligence with emergent dynamics. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-26
DOI
https://doi.org/10.5281/zenodo.22106152
Primary Topic
Quantum many-body systems
Type
preprint
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preprint

E8-Driven Self-Similar Entropic Networks — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Quantum many-body systems
preprint

E8-Driven Self-Similar Entropic Networks — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

By combining E8's 240 root vectors with phi-coupled 132 Hz oscillations, a novel framework emerges where entropic networks self-organize via hyperbolic geometry. This creates a phase-structured hierarchy where quantum coherence propagates through fractal-like orbitals, enabling stable computational states. The model bridges geometric symmetry with thermodynamic balance, unifying geometric intelligence with emergent dynamics. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Quantum many-body systems
DOIOpen Access PDFOpenAlex
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E8-Driven Self-Similar Entropic Networks — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS