Beyond Standard Models: A Tri-Field Ontology from Cosmology to Chemistry
Abstract
This paper introduces a paradigm shift in molecular science by applying the modernized Modified Einstein Field Interaction (MEFI) framework to chemistry. Discarding traditional valence bond theory and statistical mechanics, MEFI models atomic and molecular interactions as localized macroscopic stability zones governed by the Tri-Field Ontology: Universal Frequency Resonance (UFR), Compression (C), and Quantum Difference (ΔQ). Utilizing four computational simulations, the research mathematically redefines covalent bonding as phase-locked Kuramoto coherence (r≈0.97) and reaction kinetics as ΔQ-induced "Phase D" decoherence. Furthermore, it models isotopic decay deterministically as the continuous leakage of saturated spatial compression. Crucially, the paper outlines the structural role of aqueous environments as massive ΔQ dampening networks, providing the necessary coherence buffer for biological systems to maintain their optimal 81.92 Hz UFR baseline. This establishes a rigorous mathematical bridge between quantum-scale chemistry and macroscopic biometric therapeutics. Figure \ref{fig:mefi_chem_sims} provides the computational validation of MEFI resonance chemistry across four distinct molecular phenomena. Rather than relying on classical valence approximations, these simulations plot exact field interactions. As demonstrated, structural chemical stability relies entirely on maintaining a Kuramoto coherence above r=0.85. Whether analyzing the extreme ΔQ leakage of heavy isotopes or the kinetic ΔQ surge required to break a covalent bond, the localized Compression field (C) determines the system's resilience. Crucially, the aqueous buffer simulation confirms that water acts as a macroscopic structural shock absorber, neutralizing environmental kinetic noise to preserve the critical 81.92 Hz baseline required for UFR phase-locking in biological systems.
Fields of Study & Subjects
Advanced Physical and Chemical Molecular Interactions
Nonlinear Dynamics and Pattern Formation
Advanced Mathematical Theories and Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 3 March 2026
- Language
- EN