The Composite Polyhedral Boundary Framework: Derivation of Unified Scaling Coefficients across 26 Crystalline Elements

This paper establishes the Hollin-Levine Unified Lattice Framework, a first-principles deterministic model that derives precise scaling coefficients (\Omega) from the interactions between fundamental Platonic container geometries and atomic close-packed clusters. By evaluating a comprehensive dataset of 26 metallic and covalent crystalline elements across three structural tiers, the framework demonstrates that macroscopic yield limits are governed by composite boundary-stress correction factors rather than arbitrary curve-fitting heuristics. The resulting refined scalars—\Omega_1 = 2.067 for cubic systems, \Omega_2 = 1.765 for hexagonal close-packed lattices, and \Omega_3 = 1.580 for diamond and covalent networks—successfully anchor experimental values with an overall root mean square deviation (RMSD) of 12.4 MPa and a mean absolute percentage error (MAPE) of 4.2%.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-13
DOI
https://doi.org/10.5281/zenodo.22736062
Primary Topic
Machine Learning in Materials Science
Type
article
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article

The Composite Polyhedral Boundary Framework: Derivation of Unified Scaling Coefficients across 26 Crystalline Elements

Mark Levine
Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Materials Science
article

The Composite Polyhedral Boundary Framework: Derivation of Unified Scaling Coefficients across 26 Crystalline Elements

Mark Levine
article en

Abstract

This paper establishes the Hollin-Levine Unified Lattice Framework, a first-principles deterministic model that derives precise scaling coefficients (\Omega) from the interactions between fundamental Platonic container geometries and atomic close-packed clusters. By evaluating a comprehensive dataset of 26 metallic and covalent crystalline elements across three structural tiers, the framework demonstrates that macroscopic yield limits are governed by composite boundary-stress correction factors rather than arbitrary curve-fitting heuristics. The resulting refined scalars—\Omega_1 = 2.067 for cubic systems, \Omega_2 = 1.765 for hexagonal close-packed lattices, and \Omega_3 = 1.580 for diamond and covalent networks—successfully anchor experimental values with an overall root mean square deviation (RMSD) of 12.4 MPa and a mean absolute percentage error (MAPE) of 4.2%.

Zenodo (CERN European Organization for Nuclear Research)
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