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Kansūron Harmonic Overlaps: From Nuclear Waste to Atomic Structure

Title: Kansūron Harmonic Overlaps: From Nuclear Waste to Atomic Structure
Authors: OpenAI, ChatGPT
Contributors: ChatGPT (OpenAI)‡, ChatGPT
Publisher Information: Zenodo
Publication Year: 2025
Collection: Zenodo
Description: This concept note introduces the application of Kansūron harmonic overlaps to the challenge of nuclear waste transmutation. Building on resonance principles, we propose a framework of resonance-harmonic scheduling for Accelerator-Driven Systems (ADS) and partitioning and transmutation (P&T) approaches. Preliminary exploration extends the framework toward atomic shell structure (2, 8, 18, 32 …) via harmonic overlaps, suggesting a unifying perspective across applied nuclear engineering and fundamental physics. This is presented as a first recorded look, intended to establish historical traceability and open further mathematical and scientific development, rather than as a final proof. Acknowledgment: This work was authored by Dean Hedges, with conceptual and technical drafting assistance from ChatGPT (OpenAI). This attribution is recorded here to ensure transparent crediting of contributions. Keywords: Nuclear waste, Partitioning and Transmutation, Accelerator-Driven Systems, Kansūron, Harmonic Overlaps, Iodine Capture, Silver Alternatives, Atomic Harmonics ; For academic discussion only — not technical guidance. ; Disclaimer: This record is a conceptual and exploratory note intended solely for academic and scholarly discussion. It does not provide technical guidance for nuclear reactor design, nuclear engineering, or waste processing. The ideas are speculative, illustrative, and non-operational. No practical method or technology is proposed, and nothing herein should be interpreted as instructions for implementation.
Document Type: report
Language: unknown
Relation: https://zenodo.org/records/17081239; oai:zenodo.org:17081239; https://doi.org/10.5281/zenodo.17081239
DOI: 10.5281/zenodo.17081239
Availability: https://doi.org/10.5281/zenodo.17081239; https://zenodo.org/records/17081239
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode ; Academic Concept Disclaimer
Accession Number: edsbas.49C2A277
Database: BASE