Prime-Resonant Low-Energy Nuclear Reactions: A Theoretical Framework from Information-Curvature Duality in the Universal Model Framework.

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Authors: Marco Gericke
Cited by: 0

Abstract

This work presents the first fully integrated theoretical framework for Low‑Energy Nuclear Reactions (LENR) derived from the Universal Model Framework (UMF), an information‑geometric approach validated across 42 renormalization‑group protocols spanning 60 orders of magnitude. We show that prime‑indexed lattice structure and information‑curvature duality can locally suppress the Coulomb barrier through geometric modulation of the effective radial metric component. This mechanism predicts sharply defined resonance frequencies (2.28, 3.81, 5.39, 6.92, 8.17 MHz), a coherence‑driven temperature threshold near 350 K, and a holographic dissipation channel that redistributes fusion energy across ~10¹² lattice sites within ~40 fs, explaining the long‑standing absence of gamma radiation in LENR experiments. Numerical simulations reproduce three of four falsification criteria, including a 244× enhancement at prime resonance. The framework unifies Schwinger’s lattice‑coherence hypothesis, Podkletnov‑type gravitational anomalies, and UMF’s information‑curvature dynamics into a single predictive model. We outline a phased experimental program with explicit pass/fail criteria, offering a rigorous pathway toward reproducible LENR validation and a resolution to the 35‑year controversy surrounding cold fusion. This project was developed by Marco Gericke, with structured assistance from a large language model. All scientific concepts and conclusions were generated, verified, and interpreted by the author. Dedicated to Peter Plichta, who envisioned the code before it could be computed.

Fields of Study & Subjects

Cold Fusion and Nuclear Reactions Nuclear physics research studies Quantum Chromodynamics and Particle Interactions

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 January 2026
Document type
Preprint