Vacuum Intelligence Architecture Specification: Event-Driven Analog Memristor Optimal Power/Flow Solver Integration (VIA-SPEC-001)

This architecture specification presents a unified hardware-software system for resilient, antifragile decision-making in contested logistics and defense environments. Building on the theoretical foundation established in the companion working paper on the Vacuum Intelligence Framework, this document provides full mathematical mappings, hardware specifications, and a technology readiness level roadmap from TRL 2 to TRL 6.The core innovation is a dual-mode memristor crossbar that functions both as the physical stochastic reservoir and as an event-driven analog optimal power/flow solver. In reservoir mode, the crossbar physically implements the Langevin dynamics of the double-well potential, exploiting native device noise and nonlinearity to realize the vacuum reservoir without digital simulation overhead. In solver mode, the same crossbar is reprogrammed in under one microsecond to encode the Hessian of a quadratic programming problem, with steady-state row voltages converging to the optimal logistics routing solution in microseconds rather than the seconds required by GPU-based digital solvers. The system-in-package includes a 256 to 1,024 neuron memristor crossbar, a RISC-V microcontroller for mode orchestration and safety monitoring, an analog front-end, and a programmable noise source. Total dissipation is less than 1.5 W in continuous reservoir mode, representing approximately 20 times energy improvement and 1,000 times speedup relative to equivalent NVIDIA Jetson implementations. Physical envelope is 15 by 15 by 3 millimeters, suitable for UAV, shipboard, and forward-deployment modules.The hyperbolic echo state network architecture structures recurrent weights via exponential decay with hyperbolic distance in the Poincaré ball, improving chaotic time-series prediction accuracy for hierarchically structured logistics data without increasing reservoir dimensionality. The synchronicity order parameter, defined using the Minkowski inner product on the hyperboloid model, provides event-driven triggering for both the meta-optimizer and the OPF solver.Defense applications addressed include edge-deployed supply chain monitoring processing AIS vessel tracking, sanctions databases, and commodity price signals; antifragile command systems maintaining minimum viable operation under jammed or degraded sensor conditions; counter-sanctions and shadow-fleet disruption modeling with adaptive countermeasure hypothesis generation; and automated wargaming through large-scale internal scenario exploration cycles. Hardware qualification pathway specifies manufacturing via GlobalFoundries GF 22FDX or SkyWater 90 nm rad-hard process. ITAR classification under USML Category XI(c) is identified with commodity jurisdiction determination required prior to export. Anti-tamper architecture relies on non-volatile memristor states resistant to single-event upset with cryptographically verified RISC-V boot sequence.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-18
DOI
https://doi.org/10.5281/zenodo.20263930
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
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article

Vacuum Intelligence Architecture Specification: Event-Driven Analog Memristor Optimal Power/Flow Solver Integration (VIA-SPEC-001)

Damon John
Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Reservoir Computing
article

Vacuum Intelligence Architecture Specification: Event-Driven Analog Memristor Optimal Power/Flow Solver Integration (VIA-SPEC-001)

Damon John
article en

Abstract

This architecture specification presents a unified hardware-software system for resilient, antifragile decision-making in contested logistics and defense environments. Building on the theoretical foundation established in the companion working paper on the Vacuum Intelligence Framework, this document provides full mathematical mappings, hardware specifications, and a technology readiness level roadmap from TRL 2 to TRL 6.The core innovation is a dual-mode memristor crossbar that functions both as the physical stochastic reservoir and as an event-driven analog optimal power/flow solver. In reservoir mode, the crossbar physically implements the Langevin dynamics of the double-well potential, exploiting native device noise and nonlinearity to realize the vacuum reservoir without digital simulation overhead. In solver mode, the same crossbar is reprogrammed in under one microsecond to encode the Hessian of a quadratic programming problem, with steady-state row voltages converging to the optimal logistics routing solution in microseconds rather than the seconds required by GPU-based digital solvers. The system-in-package includes a 256 to 1,024 neuron memristor crossbar, a RISC-V microcontroller for mode orchestration and safety monitoring, an analog front-end, and a programmable noise source. Total dissipation is less than 1.5 W in continuous reservoir mode, representing approximately 20 times energy improvement and 1,000 times speedup relative to equivalent NVIDIA Jetson implementations. Physical envelope is 15 by 15 by 3 millimeters, suitable for UAV, shipboard, and forward-deployment modules.The hyperbolic echo state network architecture structures recurrent weights via exponential decay with hyperbolic distance in the Poincaré ball, improving chaotic time-series prediction accuracy for hierarchically structured logistics data without increasing reservoir dimensionality. The synchronicity order parameter, defined using the Minkowski inner product on the hyperboloid model, provides event-driven triggering for both the meta-optimizer and the OPF solver.Defense applications addressed include edge-deployed supply chain monitoring processing AIS vessel tracking, sanctions databases, and commodity price signals; antifragile command systems maintaining minimum viable operation under jammed or degraded sensor conditions; counter-sanctions and shadow-fleet disruption modeling with adaptive countermeasure hypothesis generation; and automated wargaming through large-scale internal scenario exploration cycles. Hardware qualification pathway specifies manufacturing via GlobalFoundries GF 22FDX or SkyWater 90 nm rad-hard process. ITAR classification under USML Category XI(c) is identified with commodity jurisdiction determination required prior to export. Anti-tamper architecture relies on non-volatile memristor states resistant to single-event upset with cryptographically verified RISC-V boot sequence.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 4%
Neural Networks and Reservoir Computing
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