Data Physics and Anticipatory Entropic Coupling - Part II: From High-Density AI Architectures to Fundamental Theoretical Physics: Axiomatic Foundations and Extended Domain Extrapolations.

Abstract This paper establishes the grand unified framework of Data Physics and the paradigm of Anticipatory Entropic Coupling. Originating from applied thermal engineering in sub-3nm Direct-to-Chip (D2C) liquid-cooled AI clusters, the model resolves systemic thermal runaway by proving that in extreme-density processing, physical carrier states must be anticipatorily governed by impending informational entropy (Shannon entropy). We define three core axioms: Informational-Physical Equivalence (ΔQ_min = k_B · T · ln 2), treating information and heat as interchangeable currencies; Anticipatory Causality (State_physical(t) = f(Workload_informational(t + Δt))), reversing classical reactive feedback; and Coupling Isomorphism, where workload queuing equations mathematically mirror physical substrate mechanics. This framework is systematically extrapolated across eight fundamental and applied domains: Black Hole Thermodynamics: Horizon expansion (S_BH = A / (4 · l_P²)) acts as an isotropic, reversible isothermal buffer preserving information unitarity. Holographic AdS/CFT Duality: Boundary algorithmic code (CFT) holographic dictates bulk physical substrate dynamics (AdS). Quantum Error Correction (QEC): Preemptive trap tuning absorbs Landauer heat of erasure prior to gate execution, preventing decoherence. Digital Physics ("It from Bit"): Execution path integrals (t_exec = ∫ [1 / f(t(C))] dC = I) bind mass-energy and cycle counts into a unified computational continuum. Neurobiology (BOLD): Astrocytic feedforward vasodilation predictively increases cerebral blood flow 100–300 ms before neuronal thermal emission. Spaceborne 0G Compute: 100 Hz piezoelectric telemetry (d/dt(σ²_ΔP) > θ_crit) dislodges microgravity pinned bubbles (α_void > 0), co-integrating compute waste heat with spacecraft ECLSS life-support. Econophysics & HFT: Market order-book liquidity acts as a cooling medium; anticipatory algorithms withdraw/supply liquidity ahead of transactional entropy surges, explaining flash crashes. Hypersonic Aerothermodynamics: Adaptive vehicle skins and magnetohydrodynamic boundary layers predictively reconfigure ahead of incoming shockwave transitions. Ultimately, Data Physics proves that physical reality is not a passive carrier, but an anticipatory computational medium that reconfigures its physical state-space in direct alignment with planned informational entropy flux.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-07
DOI
https://doi.org/10.5281/zenodo.23199498
Primary Topic
Advanced Thermodynamics and Statistical Mechanics
Type
article
Field-Weighted Citation Impact
0.00
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article

Data Physics and Anticipatory Entropic Coupling - Part II: From High-Density AI Architectures to Fundamental Theoretical Physics: Axiomatic Foundations and Extended Domain Extrapolations.

Rajmund Olszewski
Zenodo (CERN European Organization for Nuclear Research)
Advanced Thermodynamics and Statistical Mechanics
article

Data Physics and Anticipatory Entropic Coupling - Part II: From High-Density AI Architectures to Fundamental Theoretical Physics: Axiomatic Foundations and Extended Domain Extrapolations.

Rajmund Olszewski
article en

Abstract

Abstract This paper establishes the grand unified framework of Data Physics and the paradigm of Anticipatory Entropic Coupling. Originating from applied thermal engineering in sub-3nm Direct-to-Chip (D2C) liquid-cooled AI clusters, the model resolves systemic thermal runaway by proving that in extreme-density processing, physical carrier states must be anticipatorily governed by impending informational entropy (Shannon entropy). We define three core axioms: Informational-Physical Equivalence (ΔQ_min = k_B · T · ln 2), treating information and heat as interchangeable currencies; Anticipatory Causality (State_physical(t) = f(Workload_informational(t + Δt))), reversing classical reactive feedback; and Coupling Isomorphism, where workload queuing equations mathematically mirror physical substrate mechanics. This framework is systematically extrapolated across eight fundamental and applied domains: Black Hole Thermodynamics: Horizon expansion (S_BH = A / (4 · l_P²)) acts as an isotropic, reversible isothermal buffer preserving information unitarity. Holographic AdS/CFT Duality: Boundary algorithmic code (CFT) holographic dictates bulk physical substrate dynamics (AdS). Quantum Error Correction (QEC): Preemptive trap tuning absorbs Landauer heat of erasure prior to gate execution, preventing decoherence. Digital Physics ("It from Bit"): Execution path integrals (t_exec = ∫ [1 / f(t(C))] dC = I) bind mass-energy and cycle counts into a unified computational continuum. Neurobiology (BOLD): Astrocytic feedforward vasodilation predictively increases cerebral blood flow 100–300 ms before neuronal thermal emission. Spaceborne 0G Compute: 100 Hz piezoelectric telemetry (d/dt(σ²_ΔP) > θ_crit) dislodges microgravity pinned bubbles (α_void > 0), co-integrating compute waste heat with spacecraft ECLSS life-support. Econophysics & HFT: Market order-book liquidity acts as a cooling medium; anticipatory algorithms withdraw/supply liquidity ahead of transactional entropy surges, explaining flash crashes. Hypersonic Aerothermodynamics: Adaptive vehicle skins and magnetohydrodynamic boundary layers predictively reconfigure ahead of incoming shockwave transitions. Ultimately, Data Physics proves that physical reality is not a passive carrier, but an anticipatory computational medium that reconfigures its physical state-space in direct alignment with planned informational entropy flux.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 10%
Advanced Thermodynamics and Statistical Mechanics
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