Published January 2, 2026 | Version v1

(GQR20): GQR-Fusion Salvation An Einstein-Cartan-Penrose-Rosen Waveguide Model for Plasma Stability

Authors/Creators

Description

We extend a coherent waveguide framework to magnetically confined fusion, re-
casting the plasma edge and reactor wall as a single, macroscopic system. Current
MHD/turbulence models treat Edge-Localized Modes (ELMs) as stochastic, ther-
mal instabilities. We redefine them as decoherence events: a catastrophic fail-
ure of the plasma’s coherent flow. We propose ELMs can be replaced by a stable,
”phase-managed release” by using engineered ”curvature generators” (κ) to create a
”gravito-like potential” (Φef f ). This creates a non-thermal, topological ”mode-
splitting” gate analogous to a non-thermal ”bridge” (Ea ≈ 0) dynamically proven
in quantum biology.
This framework, rooted in the foundational geometric physics of Einstein, Car-
tan, Penrose, and Rosen, redefines the fusion challenge. It posits that classical
MHD/turbulence models are fundamentally flawed. This is not an engi-
neering problem, but a misdiagnosed physical one. We propose ELM-free stability
is only achievable by abandoning the thermal-suppression paradigm and engineer-
ing a non-thermal, coherent ”mode-splitting” gate, a mechanism first proven in
quantum biology.

Full 70 article programme https://github.com/jamessutton600613-png/GQR/blob/main/Programme_Index.md The programme contains both standalone and self referencing articles.  These can all be read as notes in proof of GQR1.  

Series information

Programme Continuity Statement:
GQR-20 establishes the geometric curvature framework for plasma stability. Later work in the GQR series reformulates this curvature thesis into a reduced control-manifold and empirical risk-functional structure for plasma-facing component optimisation. The present manuscript remains the conceptual foundation of the fusion strand; subsequent papers provide operational and experimental refinement rather than revision.  

Files

XXfusion (1).pdf

Files (85.5 kB)

Name Size
md5:9c3cd07bdb919ad330380c25c5a064f2
85.5 kB Preview Download