Rajmund Olszewski

Mental Physics. Neurocybernetics and Psychoacoustics of the Liquid Cooling Environment in a Data Center: The Impact of mCDU Infrastructure Vibration and Noise on Cognitive Processes and Thermodynamic Isomorphism.

Abstract. This paper investigates the impact of the unique vibroacoustic environment in modern high-density data centers-shaped by high-speed server fans and mCDU/CDU circulation pumps-on the human nervous system and cognitive processes. This phenomenon is analyzed at the interse...

Data Physics & Cyber-Physical Systems – Part VIII: Cyber-Physical Magnetic Telemetry and Cavitation Erosion Diagnostics in mCDU (Direct-to-Chip) Architectures

ABSTRACT High-density AI clusters (>100 kW/rack) utilizing liquid cooling (mCDU/D2C) fall victim to a fundamental engineering flaw: blind faith in the sterility of closed-loop systems. When reactive thermal management (BMS) induces a pressure collapse (NPSH_a drop) and the releas...

Data Physics & Cyber-Physical Systems - Part VI: Thermo-Algorithmic Determinism and Logical Cavitation: A New Data Physics Paradigm for Frontier AI Clusters

Abstract. As artificial intelligence clusters reach gigawatt-scale, conventional facility engineering encounters hard physical barriers. The IT industry, which traditionally treats software as abstract logic, must confront the reality that code is energy shaped into information....

Data Physics & Cyber-Physical Systems - Part VI: Thermo-Algorithmic Determinism in Deep-Space AI Architectures: Microgravity Fluid Dynamics, Radiative Entropy Dissipation, and ECLSS Co-Integration

Abstract Part VI extends the Data Physics paradigm from terrestrial hyperscale data centers to deep-space autonomous AI architectures operating in zero-gravity (g → 0) and vacuum environments. In microgravity, classical convective cooling collapses due to zero buoyancy, inducing...

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 p...

Comprehensive Descriptive Overview of the Spatial Model (PDE)

This publication defines the spatial data physics framework describing the mechanics of latency in high-density compute clusters. Transitioning from lumped-parameter models to a partial differential equation (PDE) system enables precise mapping of the dynamic relationships betwee...

Comprehensive Descriptive Overview of the Spatial Model (PDE)

This publication defines the spatial data physics framework describing the mechanics of latency in high-density compute clusters. Transitioning from lumped-parameter models to a partial differential equation (PDE) system enables precise mapping of the dynamic relationships betwee...

Thermo-Algorithmic Determinism in Hyperscale AI Architectures: The mCDU Data Physics Framework

This monograph formalizes the principle of Thermo-Algorithmic Determinism in high-performance computing (HPC) and hyperscale artificial intelligence accelerator clusters. Classical systems engineering assumes a strict separation between mechanical/hydraulic infrastructure (MEP) a...

Thermo-Algorithmic Determinism in Hyperscale AI Architectures: The mCDU Data Physics Framework

This monograph formalizes the principle of Thermo-Algorithmic Determinism in high-performance computing (HPC) and hyperscale artificial intelligence accelerator clusters. Classical systems engineering assumes a strict separation between mechanical/hydraulic infrastructure (MEP) a...