{
  "abstract": "The pursuit of net-positive fusion energy via magnetic confinement represents the absolute limit of contemporary cyber-physical control theory. In next-generation burning plasma experiments (e.g., ITER), managing chaotic, non-linear H-mode plasma disruptions is gated by computational and hardware latencies inherent in classical reactive control paradigms. Furthermore, the integration of Large Language Models (LLMs) into extreme-scale physics is currently bottlenecked by probabilistic hallucinations when dealing with partial differential equations. This paper introduces \"Axiomatic Forcing,\" a proprietary cognitive protocol that constrains LLMs using the discrete quantum-geometric topology of the Φ-Network Dynamics (Φ-ND) framework. To prove the efficacy of this human-AI symbiosis, the constrained LLM synthesized a mathematically flawless, AVX-512 optimized High-Order WENO5-Z sub-grid closure scheme that intrinsicly resolves the Navier-Stokes singularity without resorting to trivial algebraic flux limiters. Additionally, this paper exposes the inescapable diagnostic-actuation latency choke in current Tokamak Plasma Control Systems (PCS) and proposes Topological Predictive Control (TPC) to achieve real-time, feed-forward phase-locking of magnetic coils. The open-source C++ kernel is provided herein; the cognitive forcing protocol remains proprietary.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "name": "Ferenc Jordan"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/1eee4n330re4r.bib",
  "cited_by": 0,
  "doi": "10.5281/zenodo.23567691",
  "fulltext_url": null,
  "id": "1eee4n330re4r",
  "issns": [],
  "landing_url": "https://zenodo.org/records/23567691",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [],
  "openalex": null,
  "pdf_url": "https://zenodo.org/api/records/23567691/files/AI.pdf/content",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-22",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/1eee4n330re4r.ris",
  "sources": [
    {
      "first_seen": "2026-11-05T12:20:32Z",
      "native_id": "23567691",
      "source": "zenodo",
      "url": "https://zenodo.org/records/23567691"
    }
  ],
  "subjects": [],
  "title": "Axiomatic Forcing via Φ-Network Dynamics (Φ-ND): A Deterministic Control Architecture for Extreme-Scale Magnetohydrodynamics",
  "title_text": "Axiomatic Forcing via Φ-Network Dynamics (Φ-ND): A Deterministic Control Architecture for Extreme-Scale Magnetohydrodynamics",
  "type": "preprint",
  "updated_at": "2026-11-05T12:20:32Z",
  "url": "https://research.draconitic.com/paper/1eee4n330re4r",
  "venue": "Zenodo",
  "versions": []
}