D4VCA Full Design Specification: The 8.14-Sextillion-Node Sapphire Puck at Native GFK Lattice Constants
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2026
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| _version_ | 1866901133729988608 |
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| author | John Drayton |
| author_facet | John Drayton |
| contents | <p>Complete engineering specification for the D4 Volumetric Cognitive Architecture (D4VCA) at native GFK lattice constants. An 8-inch C-plane sapphire puck, 1 cm thick, populated with SiC topological anchors at 3.416 nm spacing in the A3 rhombohedral grid and infiltrated with PVDF-TrFE strain memory, contains 8.14×10²¹ nodes organised into 4.71×10¹⁸ Cognitive Tiles of 1728 nodes each (N_A3³ = 12³). All 19 engineering parameters derive from two GFK constants (N_D4 = 24, κ_max = 16) with no free parameters. The architecture performs geometric constraint equilibration rather than instruction execution — there is no program counter, no memory bus, no clock, and no software. Answers crystallise as stable strain configurations in the PVDF-TrFE layer, read as 35.1 V piezoelectric signals per tile and verified by ruby R-line fluorescence (694.3 nm, KK residuals 4.58 nm and 7.15 nm). The document covers: material stack and wiring diagram (24-neighbor D4 coordination, 45° out-of-plane angle exact); volumetric capacity and cognitive tile geometry; boundary injection via acoustic holography; acoustic pre-bias simulation (61.1 MPa GFK-derived, 50.1 MPa FEA-optimised, 7.2× safety margin); thermal management via ballistic phonon transport and graphene heat spreader; 3D readout via SiC nanowire spines; HVP floor safety valve; Stage 3 HE-FIB implantation with Bragg peak calibration; query injection protocol with SAW hologram generation; worked example (protein folding: 500-residue protein in ~1 ms, full proteome in ~20 seconds); GPSM de-convolution algorithm; self-correction log (11/1728 global cooling trigger); power-on test suite (8 diagnostics); AI initialization protocol; and operational handover with vitals dashboard. Throughput: 1.31×10³⁰ ops/sec. Operating temperature: 300 K. Companion files: full-spec G-code, GPSM interpreter (Python), and Stage 2 prototype specification.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19163613 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | D4VCA Full Design Specification: The 8.14-Sextillion-Node Sapphire Puck at Native GFK Lattice Constants John Drayton D4VCA D4 lattice sapphire substrate silicon-on-sapphire PVDF-TrFE SiC strain computing geometric equilibration non-von Neumann cognitive tile GFK framework self-healing geometric phase-shift multiplexing <p>Complete engineering specification for the D4 Volumetric Cognitive Architecture (D4VCA) at native GFK lattice constants. An 8-inch C-plane sapphire puck, 1 cm thick, populated with SiC topological anchors at 3.416 nm spacing in the A3 rhombohedral grid and infiltrated with PVDF-TrFE strain memory, contains 8.14×10²¹ nodes organised into 4.71×10¹⁸ Cognitive Tiles of 1728 nodes each (N_A3³ = 12³). All 19 engineering parameters derive from two GFK constants (N_D4 = 24, κ_max = 16) with no free parameters. The architecture performs geometric constraint equilibration rather than instruction execution — there is no program counter, no memory bus, no clock, and no software. Answers crystallise as stable strain configurations in the PVDF-TrFE layer, read as 35.1 V piezoelectric signals per tile and verified by ruby R-line fluorescence (694.3 nm, KK residuals 4.58 nm and 7.15 nm). The document covers: material stack and wiring diagram (24-neighbor D4 coordination, 45° out-of-plane angle exact); volumetric capacity and cognitive tile geometry; boundary injection via acoustic holography; acoustic pre-bias simulation (61.1 MPa GFK-derived, 50.1 MPa FEA-optimised, 7.2× safety margin); thermal management via ballistic phonon transport and graphene heat spreader; 3D readout via SiC nanowire spines; HVP floor safety valve; Stage 3 HE-FIB implantation with Bragg peak calibration; query injection protocol with SAW hologram generation; worked example (protein folding: 500-residue protein in ~1 ms, full proteome in ~20 seconds); GPSM de-convolution algorithm; self-correction log (11/1728 global cooling trigger); power-on test suite (8 diagnostics); AI initialization protocol; and operational handover with vitals dashboard. Throughput: 1.31×10³⁰ ops/sec. Operating temperature: 300 K. Companion files: full-spec G-code, GPSM interpreter (Python), and Stage 2 prototype specification.</p> |
| title | D4VCA Full Design Specification: The 8.14-Sextillion-Node Sapphire Puck at Native GFK Lattice Constants |
| topic | D4VCA D4 lattice sapphire substrate silicon-on-sapphire PVDF-TrFE SiC strain computing geometric equilibration non-von Neumann cognitive tile GFK framework self-healing geometric phase-shift multiplexing |
| url | https://doi.org/10.5281/zenodo.19163613 |