Geometric–Temporal Derivation of the Structural Water Window of Coherence and Biological Activity

This work presents the water-layer extension of the geometric–temporal framework introduced in [1], where physical structure is derived from an underlying period. Water is treated as a nonlinear shared configuration rather than a structureless medium. A minimal stability law is introduced, leading to preferred cluster regimes, temperature redistribution, and the emergence of a structural water window without parameter tuning. The results suggest that the balance between organization and reconfigurability is a natural consequence of geometric–temporal closure, providing a basis for both life-compatible and enzyme-specific regimes. This work represents a second step in a broader program connecting fundamental geometry to physical, chemical, and biological behavior.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-16
DOI
https://doi.org/10.5281/zenodo.19602023
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
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article

Geometric–Temporal Derivation of the Structural Water Window of Coherence and Biological Activity

Alexandar Balevsky, Krasimira Ivanova
Zenodo (CERN European Organization for Nuclear Research)
Nonlinear Dynamics and Pattern Formation
article

Geometric–Temporal Derivation of the Structural Water Window of Coherence and Biological Activity

Alexandar Balevsky, Krasimira Ivanova
article en

Abstract

This work presents the water-layer extension of the geometric–temporal framework introduced in [1], where physical structure is derived from an underlying period. Water is treated as a nonlinear shared configuration rather than a structureless medium. A minimal stability law is introduced, leading to preferred cluster regimes, temperature redistribution, and the emergence of a structural water window without parameter tuning. The results suggest that the balance between organization and reconfigurability is a natural consequence of geometric–temporal closure, providing a basis for both life-compatible and enzyme-specific regimes. This work represents a second step in a broader program connecting fundamental geometry to physical, chemical, and biological behavior.

Zenodo (CERN European Organization for Nuclear Research)
Luminex (United States) (US), Technical University of Sofia (BG)
Openalex Percentile: Top 4%
Nonlinear Dynamics and Pattern Formation
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