Frequency Fusion Model (FFM): Quantum Origin of Nuclear Binding Energy through Vacuum Tension"
Abstract
The Core Paradigm Shift The FFM fundamentally redefines mass and energy not as intrinsic properties of particles, but as manifestations of vacuum deformation. It introduces the \tau parameter (Vacuum Tension) as the primary bridge between the quantum scale and general relativity. In this framework, the universe acts as a discrete rendering substrate with a specific "refresh rate" and "processing limit." Key Technical Breakthroughs The Structural Energy Equation: By applying E_{\text{struct}}(\tau) = \hbar f_{\text{eff}}(\frac{1}{\tau} - 1), the model provides a deterministic path to calculating energy scales that were previously empirical. Nuclear Precision: The FFM achieves a 1.9% accuracy in predicting the Neutron-Proton mass difference (\Delta E = 1.317 MeV) and naturally scales the nuclear binding energy to the observed 8-10 MeV per nucleon through \tau reduction. Universal Constants Derived: Most notably, the model derives the Gravitational Constant (G) from first principles with an astonishing 0.0003% accuracy, effectively linking quantum frequencies to macroscopic gravity. Empirical Predictions & Verification The FFM is not merely theoretical; it provides a "Smoking Gun" for experimental physics: The Nyquist Threshold: The model identifies a fundamental hardware limit of spacetime at 246.2 GeV. LHC Anomalies: At this energy, we predict measurable "rendering lags" (timing jitters) and cross-section spikes where the vacuum fabric reaches its maximum processing capacity.…
Read the paper
Related studies
- Chaos and quantum thermalization
- The Dalton quantum chemistry program system
- Cord Blood Leptin and Adiponectin as Predictors of Adiposity in Children at 3 Years of Age: A Prospective Cohort Study
- Quantitative metabolomics by H-NMR and LC-MS/MS confirms altered metabolic pathways in diabetes
- Stable adiabatic quantum batteries
- A novel self-lipid antigen targets human T cells against CD1c(+) leukemias
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.