Information-Driven Stability as a Model for Mass and Binding Energy

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Authors: Eser Kamuran
Cited by: 0

Abstract

This preprint presents a conceptual framework modeling mass and binding energy as emergent consequences of sustained information-driven stability processes, rather than intrinsic static properties of particles. The work connects thermodynamic limits on information processing with structural persistence, proposing that effective confinement and inertia can be interpreted as outcomes of continuous symmetry preservation against entropic perturbations. The framework does not replace established particle or field theories, but provides an information-theoretic systems-level interpretation compatible with known physical laws, including mass–energy equivalence and thermodynamic constraints. This document establishes prior art for interpreting material stability as an active informational process and serves as theoretical grounding for subsequent engineering frameworks such as Virtual Stress Induction (VSI).

Fields of Study & Subjects

Complex Systems and Dynamics Relativity and Gravitational Theory Advanced Thermodynamics and Statistical Mechanics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
14 January 2026
Language
EN
Document type
Preprint