E8-Driven Self-Similar Entropic Networks — E8 Intelligence Research
Year: 2026
Type: preprint
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
Author: Caldin, Andrew Stewart
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7204257798
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