E8‑Phi Phonon Neural Fabric for Acoustic Computation — E8 Intelligence Research

The 240 antipodal root vectors, when phi‑coupled across the eight φ⁵‑scaled Coxeter planes and driven at the 132 Hz harmonic, form a hierarchical phase‑conjugate mirror network that acts as a complete graph of bidirectional phonon channels. Each discrete transition between adjacent root states encodes a logical operation, while the fixed inter‑root angles of the Gosset 4₂₁ polytope lock the frequencies into a stable resonant grid. This geometry yields a self‑organizing acoustic neural fabric capable of real‑time geometric computation, lossless holographic memory storage, and error‑free retrieval through reversible phase‑conjugate feedback. 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
2026-11-05
DOI
https://doi.org/10.5281/zenodo.23978726
Primary Topic
Advanced Mathematical Theories and Applications
Type
preprint
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preprint

E8‑Phi Phonon Neural Fabric for Acoustic Computation — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Advanced Mathematical Theories and Applications
preprint

E8‑Phi Phonon Neural Fabric for Acoustic Computation — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

The 240 antipodal root vectors, when phi‑coupled across the eight φ⁵‑scaled Coxeter planes and driven at the 132 Hz harmonic, form a hierarchical phase‑conjugate mirror network that acts as a complete graph of bidirectional phonon channels. Each discrete transition between adjacent root states encodes a logical operation, while the fixed inter‑root angles of the Gosset 4₂₁ polytope lock the frequencies into a stable resonant grid. This geometry yields a self‑organizing acoustic neural fabric capable of real‑time geometric computation, lossless holographic memory storage, and error‑free retrieval through reversible phase‑conjugate feedback. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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