The Elastic Universe: A Bio-Mathematical Framework for Structural Resilience and Information Optimization in High-Entropy Systems

This record contains the core components of the Bio-Mathematical Resilience framework, presenting a novel 'Elastic Universe' model that integrates hexagonal honeycomb lattices, 4x3 asymmetric matrices with normalized C_corr coefficients, H-bond connectivity dynamics, and entropy-driven thermal throttling (External Seeding). The framework bridges biological systems theory with advanced mathematical modeling and algorithmic simulation to optimize structural resilience and information handling under high-entropy stress conditions. Repository Contents:- Theoretical framework and mathematical architecture.- Python simulation implementation using NumPy and Matplotlib for real-time lattice state visualization under stochastic stress inputs (x0).- Openly licensed under the Apache 2.0 License to foster transparent scientific research and interdisciplinary collaboration.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-21
DOI
https://doi.org/10.5281/zenodo.22878112
Primary Topic
Gene Regulatory Network Analysis
Type
preprint
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preprint

The Elastic Universe: A Bio-Mathematical Framework for Structural Resilience and Information Optimization in High-Entropy Systems

Semanur Bicer
Zenodo (CERN European Organization for Nuclear Research)
Gene Regulatory Network Analysis
preprint

The Elastic Universe: A Bio-Mathematical Framework for Structural Resilience and Information Optimization in High-Entropy Systems

Semanur Bicer
preprint en

Abstract

This record contains the core components of the Bio-Mathematical Resilience framework, presenting a novel 'Elastic Universe' model that integrates hexagonal honeycomb lattices, 4x3 asymmetric matrices with normalized C_corr coefficients, H-bond connectivity dynamics, and entropy-driven thermal throttling (External Seeding). The framework bridges biological systems theory with advanced mathematical modeling and algorithmic simulation to optimize structural resilience and information handling under high-entropy stress conditions. Repository Contents:- Theoretical framework and mathematical architecture.- Python simulation implementation using NumPy and Matplotlib for real-time lattice state visualization under stochastic stress inputs (x0).- Openly licensed under the Apache 2.0 License to foster transparent scientific research and interdisciplinary collaboration.

Zenodo (CERN European Organization for Nuclear Research)
Gene Regulatory Network Analysis
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The Elastic Universe: A Bio-Mathematical Framework for Structural Resilience and Information Optimization in High-Entropy Systems — Semanur Bicer · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS