The Subatomic Geometric Matrix

AbstractThis paper introduces a unified, closed physical-mathematical matrix that connects fundamental subatomic constants and quantum limits to the spatial dimensions of atomic nuclei, lightweight organic compounds, and macromolecular complexes. By separating structural geometry into three discrete boundary layers—the Nuclear Reductor, the Linear Electronic Ceiling, and the 3D Macromolecular Floor—we demonstrate that molecular architecture is hardcoded into the structural geometry of the universe. The model achieves over 95% predictive accuracy across all included scales without empirical tuning or parameters alignment.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-05
DOI
https://doi.org/10.5281/zenodo.23973163
Primary Topic
Advanced Mathematical Theories and Applications
Type
article
Field-Weighted Citation Impact
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article

The Subatomic Geometric Matrix

Orymbetov Yerzhan
1 links
Zenodo (CERN European Organization for Nuclear Research)
Advanced Mathematical Theories and Applications
article

The Subatomic Geometric Matrix

Orymbetov Yerzhan
article en

Abstract

AbstractThis paper introduces a unified, closed physical-mathematical matrix that connects fundamental subatomic constants and quantum limits to the spatial dimensions of atomic nuclei, lightweight organic compounds, and macromolecular complexes. By separating structural geometry into three discrete boundary layers—the Nuclear Reductor, the Linear Electronic Ceiling, and the 3D Macromolecular Floor—we demonstrate that molecular architecture is hardcoded into the structural geometry of the universe. The model achieves over 95% predictive accuracy across all included scales without empirical tuning or parameters alignment.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 17%
Advanced Mathematical Theories and Applications
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The Subatomic Geometric Matrix — Orymbetov Yerzhan · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS