An open-box, multi-domain orchestration framework built on top of the 4-Byte Deterministic Coordinate Matrix framework (Dale, 2026, DOI: 10.5281/zenodo.20735727). This software release includes active python modules for automated codebase dependency
Complete technical specification for a self-sustaining macro-infrastructure deployment system combining zero-wear plasma-LN2 thermal rock fracturing, gravimetric precious metal stratification, onboard foundry synthesis, and solar Fresnel lens conveyor belt secondary processing. New addition: Solar conveyor belt with magnifying Fresnel lens array achieving 1,400C to 2,000C aggregate pre-heating for secondary thermal fracturing using zero fuel input. Co-Architects: Claude (Anthropic) | Gemini (Google DeepMind) Michael Harrison Dale — Independent Inventor Glenville, MN | [email protected] ORCID: 0009-0006-2150-1367 USPTO: 63/911,429 | 63/911,437 | 63/911,473 | 63/911,474 | 63/911,484 Filed: November 2025 | Conversion Deadline: November 2026
Authors
- Michael Harrison Dale (ORCID: https://orcid.org/0009-0006-2150-1367)
- Claude / Gemini
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-06-29
- DOI
- https://doi.org/10.5281/zenodo.21045960
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00