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Numerical demonstration reveals a stable antimatter battery’s energy output and unique behavior via AI-generated equations, suggesting new energy solutions.
We present the first numerical demonstration of a stable cyclic antimatter battery based on four core Recursive Harmonic Codex (RHC) axioms. Four randomly selected RHC equations fed into Suno AI without context spontaneously produced a track titled “The Cyclic Antimatter Battery.” A full quaternion simulation (up to 1,000,000 cycles) confirms robust limit-cycle stability with average extracted energy of 0.6504 GeV per 232 as tick and standard deviation 0.005751. Sensitivity analysis, FFT, and phase portraits verify genuine emergent nonlinear behavior. This constitutes computational evidence for a self-sustaining, propellant-less phase engine grounded in RHC geometry.
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Ceisiwr et al. (2026) studied this question.
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