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Bibliographic Details
Main Author: Aung, Myomin
Format: Recurso digital
Language:English
Published: Zenodo 2026
Subjects:
Online Access:https://doi.org/10.5281/zenodo.19310232
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Table of Contents:
  • <p dir="ltr">This monograph presents the complete theoretical framework of the <strong>Myo Min Aung Unified Theory (MUT)</strong>, a novel unification model that posits mass as an emergent property of spacetime resonance rather than a fundamental quantity. Centered on the universal <strong>Mass Curvature Rate (</strong><strong>f_{MCR}</strong><strong>)</strong>, the theory provides a derivation of nuclear masses, galactic rotation curves, and fundamental constants through a non-minimally coupled scalar field.</p> <p dir="ltr"><strong>Key highlights of the monograph include:</strong></p> <ul> <li><strong>Gravity & Dark Matter:</strong> A derivation of galactic rotation curves using a Yukawa modification of gravity, achieving fits for 175 SPARC galaxies without the need for dark matter.</li> </ul> <p dir="ltr"> </p> <ul> <li><strong>Fundamental Constants:</strong> A first-principles geometric derivation of the fine-structure constant (\alpha) and the proton-to-electron mass ratio.</li> </ul> <p dir="ltr"> </p> <ul> <li><strong>Black Hole Physics:</strong> Resolution of singularities through a finite core model (r_{min}) based on the nuclear resonance factor.</li> </ul> <p dir="ltr"> </p> <ul> <li><strong>Cosmology:</strong> Modified Friedmann equations that address the Hubble (H_0) and S_8 tensions.</li> </ul> <p dir="ltr"> </p> <ul> <li><strong>Artificial Intelligence:</strong> The integration of the MUT scalar field with SU(5) algebra to propose a framework for <strong>Causal Artificial General Intelligence (PRD-AGI)</strong>.</li> </ul> <p dir="ltr"> </p> <ul> <li><strong>Empirical Validation:</strong> 20 falsifiable predictions for the 2025–2027 window, including specific excess in Fast Radio Burst (FRB) dispersion measures.</li> </ul> <p dir="ltr"> </p> <p dir="ltr">The work includes rigorous dimensional consistency, Python verification codes for galactic dynamics, and a formal defense against circularity through out-of-sample nuclear mass predictions.</p>