Vacuum Intelligence Architecture Specification: Event-Driven Analog Memristor Optimal Power/Flow Solver Integration
We present a unified hardware-software architecture for resilient, antifragile decision-making in contested logistics environments. The system is built on a stochastic reservoir computer governed by a double-well Langevin equation, a hyperbolic echo state network (HypER) for hierarchical representation, a synchronicity order parameter for early disruption detection, and a meta-optimizer that performs simulated annealing over reservoir parameters to improve recovery after shocks. The core innovation is a dual-mode memristor crossbar that functions both as the physical reservoir and as an event-driven analog optimal power/flow (OPF) solver. This reconfigurable fabric eliminates the need for a digital convex optimization engine, reduces SWaP, and transforms the hypothesis generator into a physically grounded planner. Full mathematical mappings, hardware specifications, and a TRL 2 to TRL 6 roadmap are provided.Version 1.2
Authors
- Damon John
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-06-12
- DOI
- https://doi.org/10.5281/zenodo.20669318
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00