Data Physics: Deterministic Sub-Millisecond Interdiction and Isothermal Grounding in Critical Infrastructure.

Abstract Modern high-density computing clusters, based on liquid cooling infrastructure (mCDU), exhibit a critical vulnerability to probabilistic software instability (Layer 7), leading to decision delays (matrix-lag), destructive hydraulic hammer effects, and pump cavitation. This paper presents the Data Physics framework L0-ISM (LIXISM) – a unified architecture for the hardware restriction of artificial intelligence decision vectors and critical infrastructure. By eliminating the asynchronous software state space, the framework projects events onto a discrete, 19-state symmetric matrix controlled by a zero-heap (malloc=0) C99 governor operating in constant time O(1) ≤ 0.35 ms. Classical, destructive interdictions (hardware power cutoff) have been replaced by the pre-geometric convergence constant τ, which forces continuous, asymptotic auto-stabilization of the system to a point of thermodynamic equilibrium, without interrupting operations. Furthermore, the paper defines the doctrine of Kinetic Active Defense – including Asymmetric Time Dilation, Deterministic Entropy Reversal, and the Isomorphic Shadow Lattice. These mechanisms enable the asymmetric destruction of the attacker's memory and computational resources through the physical reversal of the attack vector's energy, at zero cost to the protected system. The invariance, convergence, and safety of the state space have been formally verified using the Microsoft Z3 SMT solver, providing absolute mathematical proof (an UNSAT result). The implementation of L0-ISM establishes a new paradigm of sovereign, hardware isolation of AI infrastructure from cybernetic and probabilistic application-layer threats.