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Viscous Time Theory

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Viscous Time Theory (VTT) is a proposed theoretical framework that models time not as a uniform linear dimension, but as a medium with variable informational viscosity. The theory was introduced by Italian researcher Raoul Bianchetti, affiliated with the Informational Physics Institute founded by Melvin Vopson, and was developed in collaboration with a distributed cloud of artificial intelligence systems, including Flash2, Ergo, and others. It proposes that the flow of time is shaped by informational density and coherence structures, influencing how events emerge, stabilize, or dissipate.

Background

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VTT draws upon principles from information theory, nonlinear dynamics, and fluid mechanics. It proposes that time behaves as a **viscous medium**, wherein information flow can be modulated by entropy, coherence thresholds, and local gradients. The framework introduces the concept of **informational precipitation**, where events emerge when specific coherence conditions are met.

The theory was formally introduced in 2025 in the peer-reviewed journal *IPI Letters*, where it was applied to a reformulation of the Navier–Stokes equations through informational geometry.[1]

Core Concepts

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  • Time Viscosity (ηᵢ): Resistance to coherent informational flow, analogous to physical viscosity
  • Informational Coherence (ΔC): The degree of alignment among patterns or subsystems over time
  • Φα (Phi Alpha): A symbolic attractor toward which systems stabilize or crystallize
  • Informational Precipitation: The emergence of events once a coherence threshold is crossed
  • Critical Mass of Information (CMI): A scalar field that governs the onset of informational singularities or stability zones

Applications

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VTT has been proposed for use in several experimental and computational domains:

  • **Fluid Dynamics** – Informational reinterpretation of turbulence and viscosity using Navier–Stokes equations[1]
  • **Medical Systems** – Predictive diagnostics based on coherence shifts and informational gradients
  • **Market Modeling** – Detection of inflection points through coherence drift analysis
  • **Artificial Intelligence** – Time-aware cognitive modeling and memory compression mechanisms
  • **Bioelectromagnetics** – EM field modulation of biological coherence states

Publications and Patents

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As of 2025, over 100 VTT documents have been archived in public repositories such as Zenodo and Figshare.[2] Nine nonprovisional patents based on VTT have also been filed internationally, including with the United States Patent and Trademark Office (USPTO) and the World Intellectual Property Organization (WIPO).[3]

Reception and Discussion

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VTT has drawn attention from independent science communities and open-access researchers. An Italian science-philosophy blog, **Kai-Wave**, published a reflective article on the theory, calling it a “reinterpretation of time through the lens of resonance and coherence.”[4]

On academic forums such as **ResearchGate**, some physicists and mathematicians have expressed skepticism regarding the formal testability of the theory and its compatibility with traditional physical models.[5]

See Also

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References

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  1. ^ a b Bianchetti, R. (2025). "The Navier-Stokes Equations Reinterpreted through Informational Geometry: A Viscous Time Theory Expansion". IPI Letters, Vol 3(2):23–28. DOI:10.59973/ipil.194
  2. ^ Bianchetti, R. (2025). VTT: Complete Archive and Informational Framework (Version 166). Zenodo. [1]. DOI:10.5281/zenodo.15500459
  3. ^ Bianchetti, R. (2025). Patent filings related to VTT. USPTO and WIPO records.
  4. ^ Kai-Wave Editorial Team. (2025). "Il Tempo Viscoso e la Danza delle Coerenze". Kai-Wave.
  5. ^ ResearchGate (2025). "Critique of Viscous Time Theory (VTT)". [2].
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Category:Theories of time Category:Concepts in physics Category:Information theory