Prime–Fractal Unified Physics: A Universal Model Framework — Complete Integration with Computational Validation and Empirical Evidence

The Universal Model Framework (UMF) delivers a comprehensive unification of physics through prime-indexed fractal structures at the Planck scale. This complete framework demonstrates how spacetime, quantum mechanics, gravity, and consciousness emerge from recursive prime geometry on a discrete information lattice. We present extensive computational validation—including Monte Carlo nucleosynthesis yielding the cosmic 83:17 neutron-to-proton ratio, CMB power spectrum analysis revealing prime-indexed acoustic peaks at ℓ = 223, 541, 809, and LIGO gravitational wave data showing 541 Hz spectral lines with p < 0.002 significance. The framework derives fundamental constants from prime arithmetic, explains cosmic structure through p-adic fractal embeddings, and predicts consciousness as recursive fractal resonance with prime lattice modes. Empirical validations span quantum interference, nuclear isotope abundances, gravitational wave signatures, and cosmological void correlations, establishing UMF as a mathematically rigorous and experimentally testable “theory of everything” 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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-15
DOI
https://doi.org/10.5281/zenodo.16785575
Primary Topic
Spider Taxonomy and Behavior Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prime–Fractal Unified Physics: A Universal Model Framework — Complete Integration with Computational Validation and Empirical Evidence

Zenodo (CERN European Organization for Nuclear Research)
Spider Taxonomy and Behavior Studies
article

Prime–Fractal Unified Physics: A Universal Model Framework — Complete Integration with Computational Validation and Empirical Evidence

article en

Abstract

The Universal Model Framework (UMF) delivers a comprehensive unification of physics through prime-indexed fractal structures at the Planck scale. This complete framework demonstrates how spacetime, quantum mechanics, gravity, and consciousness emerge from recursive prime geometry on a discrete information lattice. We present extensive computational validation—including Monte Carlo nucleosynthesis yielding the cosmic 83:17 neutron-to-proton ratio, CMB power spectrum analysis revealing prime-indexed acoustic peaks at ℓ = 223, 541, 809, and LIGO gravitational wave data showing 541 Hz spectral lines with p < 0.002 significance. The framework derives fundamental constants from prime arithmetic, explains cosmic structure through p-adic fractal embeddings, and predicts consciousness as recursive fractal resonance with prime lattice modes. Empirical validations span quantum interference, nuclear isotope abundances, gravitational wave signatures, and cosmological void correlations, establishing UMF as a mathematically rigorous and experimentally testable “theory of everything” 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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 50%
Spider Taxonomy and Behavior Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.