Unified Substrate Theory (UST) establishes a non-Von Neumann, substrate-level computational and physical architecture where adaptive behavior and structural permanence emerge from the intrinsic evolution of a continuous field. Moving away from discrete symbolic logic and algorithmic software layers, UST adopts principles from continuum mechanics, field dynamics, and localized memory correction. The framework models physical phenomena and computational states as excitations, gradients, and coherent structures within a continuous physical substrate represented by a scalar field (x, t) and an associated gauge potential A_ (x, t). This repository contains the foundational theoretical manuscripts detailing the scalar field equations, wave propagation metrics, dispersion mechanics, and the complete GEN-Series (GEN-1 through GEN-10) deterministic instrumentation and verification pipeline. Additionally, it includes the functional Python simulation implementation (UST-Sim v1. 1). The simulation demonstrates that localized, discrete-time diffusion augmented by a memory-driven "local opposition" rule induces stable, spatially anisotropic internal structures that adaptively resist entropic drift and saturation, proving that a physical substrate can natively compute and retain memory through pure physical relaxation. Intellectual Property Field-State Computing; Non-Von Neumann Architecture; Physical Reservoir Computing; Continuum Mechanics; Scalar Fields; Sensory Substrates; Local Opposition; GEN-Series Instrumentation; Omniscan.
Dustin Lee (Tue,) studied this question.