DOI: 10.5281/zenodo.17404421
title: Davini Zero-Contradiction Law: Cross-Domain Validation and Functional Equilibrium Dataset
title: This dataset provides the cross-domain analytical, biological, and artificial intelligence validations supporting the Davini Zero-Contradiction Law (ZC ≈ 0.64), demonstrating a universal equilibrium ratio uniting coherence and randomness across physical, informational, and cognitive systems.
title: Davini Zero-Contradiction Law™ — Cross-Domain Validation Series II (Physics–Biology–Cognition
title: Lorenz-63 Validation Note — Physical Chaos and Universal Equilibrium
title: Quantum–Lorenz Micro–Macro Alignment: ZC* Validation Addendum (s = 30)

description: This dataset consolidates the analytical, numerical, and applied validations of the Davini Zero-Contradiction Law (ZC Law), establishing ZC* ≈ 0.64 as a universal equilibrium ratio linking order and randomness. The collection spans physical (energy dissipation → coherence), biological (heart rate variability), informational (queue and epidemic models), and artificial (learning and AI training curves) domains. All systems converge to the same coherence constant within experimental precision. This archive includes cross-domain simulation logs, code excerpts, and raw time-series files supporting the claim of a domain-agnostic functional law of equilibrium.
description:  

Patent-pending dataset. Access limited to verified reviewers or collaborators under confidentiality agreement.

 
description: This restricted archive presents the cross-domain validation of the Davini Zero-Contradiction Law™ (ZC Law) — a universal equilibrium functional linking coherence across physical, biological, and cognitive systems. Using models such as Lorenz-63, Kuramoto synchronization, SIR epidemic dynamics, M/M/1 queuing, and neural coherence data, the studies confirm a stable attractor at ZC ≈ 0.64*, representing the balance point between order and randomness. The results extend to real-time applications in AI, biofeedback, and early warning diagnostics, demonstrating that contradiction minimization governs both energetic and informational stability.
description: This validation demonstrates the application of the Davini Zero-Contradiction Functional (ZC*) to the Lorenz-63 chaotic system.

The experiment shows that ZC* converges toward the universal equilibrium constant (≈0.64 ± 0.13) even under non-linear, high-entropy dynamics.

Five visualizations confirm physical-domain coherence stability, completing the tri-domain proof (physical, biological, informational) of the Davini Zero-Contradiction Law™.

Patent-pending. Files include time-series data, analysis script, and validation brief (restricted access).
description: We couple a classical Lorenz macro-dynamics to a complex micro-amplitude ψ(t) and evaluate the Davini ZC* functional:

ZC^*(t)=\frac{1}{1+s\,\frac{|\psi’(t)|}{|\psi’’(t)|+\varepsilon}}.

With a fixed coupling scale s=30, the tail of the trajectory stabilizes near the expected coherence plateau:

mean ≈ 0.648, median ≈ 0.669, std ≈ 0.176.

This addendum shows the cross-scale convergence behavior is preserved under a quantum-like phase channel driven by macroscopic energy, consistent with prior classical validation.