
This paper outlines the applied engineering and material science required toconstruct a physical zero-point energy extraction device, rooted in the GeometricalFoundation of Knowledge. By utilizing a dual-layer topological boundary—comprisinga Bismuth-alloy topological insulator matrix and a graphene neural lattice—we pro-pose a testable mechanism for capturing the structural tension of the overarching4D rhombohedral graph. Furthermore, we outline an asymmetric, high-frequencypulsed duty cycle (1022 Hz) to manage thermal bleed-off, alongside a rigorous 4Kelvin cryogenic bench test to empirically verify sub-atomic geometric friction andanomalous energy generation.
Cryogenic Bench Test, Geometric Foundation of Knowledge, Zero-Point Energy Extraction, Bismuth-Alloy Matrix, 4D Rhombohedral Graph, Defect Manifold Dynamics, SQUID Magnetometry, Restorative Geometric Decay, Topological Friction, 4D Topological Resonator, Topological Insulators, Graphene Neural Lattice
Cryogenic Bench Test, Geometric Foundation of Knowledge, Zero-Point Energy Extraction, Bismuth-Alloy Matrix, 4D Rhombohedral Graph, Defect Manifold Dynamics, SQUID Magnetometry, Restorative Geometric Decay, Topological Friction, 4D Topological Resonator, Topological Insulators, Graphene Neural Lattice
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