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Fusion Plasma as a Living Information Condensate: A Reduced-Order Survival Inequality for Stable Energy-Extracting Fusion Plasmas

Lee, Taekyung · Zenodo (CERN)
Zenodo (CERN) · Papers · License: Open Access
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fusionplasma
fusion plasma, Calcifer Condition, information condensate, reduced-order modeling, Fröhlich-logistic equation, temporal attractor, spatial sphere stability, critical radius

Fusion Plasma as a Living Information Condensate: A Reduced-Order Survival Inequality for Stable Energy-Extracting Fusion Plasmas | Zenodo Skip to main Communities My dashboard Log in Sign up Published May 2, 2026 | Version v1 Preprint Open Fusion Plasma as a Living Information Condensate: A Reduced-Order Survival Inequality for Stable Energy-Extracting Fusion Plasmas Authors/Creators Lee, Taekyung 1 Show affiliations 1.

Independent Researcher Description This paper addresses the next unresolved problem in fusion energy. The central question is no longer whether fusion reactions can occur, but whether a burning plasma can persist as a stable, finite, energy-extracting state while useful power is continuously removed from it. The paper develops a reduced-order framework in which a stable burning plasma is modeled as a living information condensate. In this usage, “living” does not mean biological life or sentience. It means mathematically persistent, self-maintaining, feedback-supported, spatially bounded, and able to survive dissipation. The fusion plasma is treated not merely as hot matter, but as an organized state that must maintain a selected burning mode, resist mode entropy, preserve a spatial body, and release energy without destroying its attractor. The central theoretical contribution is the Calcifer Condition: a single survival inequality that combines self-condensing drive, natural plasma loss, engineered extraction, control burden, basis-hopping loss, and finite-size spatial leakage. Under the stated reduced-order model, this condition is necessary and sufficient for three things to hold together: a positive temporal attractor, a stable spatial plasma body above a critical radius, and a non-empty safe extraction interval. The paper proves fourteen theorem-level results supporting this condition. These include temporal attractor existence, temporal stability, explicit logistic solution, maximum safe extraction, spatial existence, critical radius, extraction lowering the attractor, extraction increasing the critical radius, and the final stable energy-extracting fusion sphere theorem. The framework also includes dimensional and nondimensional audits, a term-by-term provenance map, cross-regime universality, cross-domain universality, nine predictions, and nine falsification conditions. The empirical layer is deliberately framed as first-pass public-data testing, not final plasma-domain validation. On eleven public NIF ignition milestones from 2018 to 2025, a Calcifer-style threshold model outperforms a linear baseline in continuous yield prediction, with higher explanatory power and lower error under the same number of free parameters. The threshold model is also favored by small-sample AICc and leave-one-out cross-validation, though the threshold location remains imprecise at this sample size. A second public-data test uses FAIR-MAST shot 30420. A transparently declared stable-mode proxy is fit with the closed-form logistic solution. The fit shows a broad high-quality plateau across the attractor sweep, with the net growth margin remaining positive across the tested range. This is reported as a single-shot identifiability demonstration: sign-correct, magnitude-robust, and honest about the fact that one shot cannot separately identify every structural parameter. The paper also gives a concrete ITER-class order-of-magnitude prediction for the safe extraction bound under design-point substitution. This is presented as a cross-device prediction to be tested in future multi-shot, fixed-geometry validation rather than as proof that reactor engineering is solved. The conclusion is that stable fusion energy should be treated not only as a power-balance problem, but as a state-survival problem. Lawson-style criteria and gain metrics define the energetic corridor; the Calcifer Condition asks whether an organized burning state can remain alive inside that corridor while energy is extracted. The paper does not replace MHD, transport theory, materials science, tritium breeding, neutron engineering, or full reactor simulation. It proposes a compact reduced-order survival law that these lower-level physics outputs must ultimately satisfy. The framework is structured for falsification. It predicts that stable burn requires a positive survival margin, that extraction lowers the attractor, that extraction increases the required spatial body size, that mode-entropy decline should precede failure, and that the same normalized attractor structure should recur across devices after proper normalization. A pre-registered multi-shot follow-up is identified as the next required validation step. Keywords: fusion plasma, burning plasma, Calcifer Condition, information condensate, reduced-order modeling, fusion stability, energy extraction, temporal attractor, critical radius, spatial leakage, Fröhlich-logistic dynamics, Lawson criterion, NIF ignition, FAIR-MAST, ITER, safe extraction, plasma control, Information Physics Series. Files Lee_2026_FusionPlasma_v1.pdf Files (4.4 MB) Name Size Download all Lee_2026_FusionPlasma_v1.pdf md5:7ca67a72c1b714fc4526877e0f3ebbac 3.8 MB Preview Download Paper18_Reproducibility_Kit_v18.zip md5:10209a0d8697d312c57bd5d9fbfbf3f6 621.9 kB Preview Download Additional details Related works Cites Preprint: 10.5281/zenodo.19639125 (DOI) Preprint: 10.5281/zenodo.19656216 (DOI) Preprint: 10.5281/zenodo.19782855 (DOI) Preprint: 10.5281/zenodo.19483044 (DOI) Preprint: 10.5281/zenodo.19622108 (DOI) Preprint: 10.5281/zenodo.19780982 (DOI) Continues Preprint: 10.5281/zenodo.19790713 (DOI) References [1] U.S. Department of Energy. DOE Explains... Burning Plasma. https://www.energy.gov/science/doe-explainsburning-plasma [2] International Atomic Energy Agency. Burning plasma: A critical stepping stone towards fusion power. https://www.iaea.org/bulletin/burning-plasma [3] CEA/IRFM. Plasma power balance. https://irfm.cea.fr/en/physics-of-fusion/what-do-we-want-to-achieve-a-well-confined-hot-dense-plasma/a-plasma-power-balance/ [4] CEA/IRFM. The Lawson criterion. https://irfm.cea.fr/en/physics-of-fusion/what-do-we-want-to-achieve-a-well-confined-hot-dense-plasma/b-the-lawson-criterion/ [5] ITER Organization. What will ITER do? https://www.iter.org/fusion-energy/what-will-iter-do [6] ITER Organization. FAQs: ITER power amplification. https://www.iter.org/faqs?thematic=68 [7] Lawrence Livermore National Laboratory. National Ignition Facility annual reports and ignition milestone pages. https://annual.llnl.gov/ [8] LLNL Science & Technology Review. The Future of Ignition. https://str.llnl.gov/str-julyaugust-2025/future-ignition [9] National Ignition Facility & Photon Science. Target Breakthrough Enabled Fusion Record at NIF. https://lasers.llnl.gov/news/target-breakthrough-enabled-fusion-record-nif [10] MAST Data Catalog. Quickstart. https://mastapp.site/quickstart.html [11] UKAEA. FAIR MAST public data service. https://www.ukaea.org/service/fair-mast/ [12] MIT PSFC. DisruptionPy documentation. https://mit-psfc.github.io/disruption-py/ [13] DisruptionPy PyPI package page. https://pypi.org/project/disruption-py/ [14] Lee, T. (2026). Erasure Is Transfer: Two Axioms for Information, Consciousness, and Death. Paper 8 in the Information Physics Series. Zenodo. DOI: 10.5281/zenodo.19639125 [15] Lee, T. (2026). Consciousness as Basis Selection: A Fröhlich-Condensation Account of the Preferred Basis Problem. Paper 9 in the Information Physics Series. Zenodo. DOI: 10.5281/zenodo.19656216 [16] Lee, T. (2026). Self-Reinforcing Information Dynamics in Conscious Systems. Paper 10 in the Information Physics Series. Zenodo. DOI: 10.5281/zenodo.19782855 [17] Lee, T. (2026). Universality of Logistic Dynamics on the Probability Simplex. Paper 11 in the Information Physics Series. Zenodo. DOI: 10.5281/zenodo.19433570 [18] Lee, T. (2026). A Top-Down Framework for the Spontaneous Emergence of Digital Communication Systems from Non-Equilibrium Chemistry. Paper 12 in the Information Physics Series. Zenodo. DOI: 10.5281/zenodo.19483044 [19] Lee, T. (2026). Superluminal Correlations in Ensembles of Optical Phase Singularities. Paper 15 in the Information Physics Series. Zenodo. DOI: 10.5281/zenodo.19622108 [20] Lee, T. (2026). Production-Transduction Coexistence in Fröhlich Relay Systems. Paper 16 in the Information Physics Series. Zenodo. DOI: 10.5281/zenodo.19780982 [21] Lee, T. (2026). The Thermodynamic Laws of Information Physics. Paper 17 in the Information Physics Series. Zenodo. DOI: 10.5281/zenodo.19790713 [22] Onsager, L. (1931). Reciprocal relations in irreversible processes. I. Physical Review 37, 405–426. doi:10.1103/PhysRev.37.405 [23] Onsager, L. (1931). Reciprocal relations in irreversible processes. II. Physical Review 38, 2265–2279. doi:10.1103/PhysRev.38.2265 [24] Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal 27, 379–423 and 623–656. [25] Landauer, R. (1961). Irreversibility and heat generation in the computing process. IBM Journal of Research and Development 5, 183–191. [26] Fröhlich, H. (1968). Long-range coherence and energy storage in biological systems. International Journal of Quantum Chemistry 2, 641–649. doi:10.1002/qua.560020505 [27] Bennett, C. H. (1973). Logical reversibility of computation. IBM Journal of Research and Development 17, 525–532. [28] Wheeler, J. A. (1990). Information, physics, quantum: the search for links. In W. H. Zurek (Ed.), Complexity, Entropy, and the Physics of Information (pp. 3–28). Westview Press. [29] Aronson, D. G., & Weinberger, H. F. (1978). Multidimensional nonlinear diffusion arising in population genetics. Advances in Mathematics 30, 33–76. doi:10.1016/0001-8708(78)90130-5 [30] Sattinger, D. H. (1972). Monotone methods in nonlinear elliptic and parabolic boundary value problems. Indiana University Mathematics Journal 21, 979–1000. doi:10.1512/iumj.1972.21.21079 [31] Crandall, M. G., & Rabinowitz, P. H. (1971). Bifurcation from simple eigenvalues. Journal of Functional Analysis 8, 321–340. doi:10.1016/0022-1236(71)90015-2 [32] Kolmogorov, A. N., Petrovsky, I. G., & Piskunov, N. S. (1937). A study of the diffusion equation with increase in the amount of substance, and its application to a biological problem. Bulletin of the Moscow State University, Mathematics and Mechanics 1, 1–25. (English translation in V. M. Tikhomirov, Ed., Selected Works of A. N. Kolmogorov, Volume 1, Kluwer 1991.) [33] Verhulst, P. F. (1838). Notice sur la loi que la population suit dans son accroissement. Correspondance Mathématique et Physique 10, 113–121. [34] Fisher, R. A. (1937). The wave of advance of advantageous genes. Annals of Eugenics 7, 355–369. doi:10.1111/j.1469-1809.1937.tb02153.x [35] Cantrell, R. S., & Cosner, C. (2003). Spatial Ecology via Reaction-Diffusion Equations. Wiley. [36] Murray, J. D. (2002). Mathematical Biology I: An Introduction. Springer. [37] Jackson, S. et al. (2024). FAIR-MAST: A fusion device data management system. SoftwareX 27, 101869. doi:10.1016/j.softx.2024.101869 [38] Jackson, S. et al. (2025). An Open Data Service for Supporting Research in Machine Learning on Tokamak Data. IEEE Transactions on Plasma Science. doi:10.1109/TPS.2025.3583419 [39] Lawrence Livermore National Laboratory. NIF Sets Power and Energy Records. https://lasers.llnl.gov/about/keys-to-success/nif-sets-power-energy-records (accessed 2026-04) [40] Lawson, J. D. (1957). Some criteria for a power producing thermonuclear reactor. Proceedings of the Physical Society B 70(1), 6–10. doi:10.1088/0370-1301/70/1/303 [41] ITER Physics Basis Editors. (1999). ITER Physics Basis. Nuclear Fusion 39(12), 2137–2638. doi:10.1088/0029-5515/39/12/301 [42] Hazeltine, R. D., & Meiss, J. D. (2003). Plasma Confinement. Dover Publications. (Originally published Addison-Wesley 1992.) [43] Atzeni, S., & Meyer-ter-Vehn, J. (2004). The Physics of Inertial Fusion: Beam Plasma Interaction, Hydrodynamics, Hot Dense Matter. Oxford University Press. doi:10.1093/acprof:oso/9780198562641.001.0001 [44] ITER Physics Basis Editors. (2007). Progress in the ITER Physics Basis. Nuclear Fusion 47(6), S1–S414. doi:10.1088/0029-5515/47/6/S01 [45] Wesson, J. (2011). Tokamaks (4th ed.). International Series of Monographs on Physics 149. Oxford University Press. [46] Freidberg, J. P. (2014). Ideal Magnetohydrodynamics. Springer. (Reprint of Plenum 1987 edition.) [47] Degrave, J., Felici, F., Buchli, J., et al. (2022). Magnetic control of tokamak plasmas through deep reinforcement learning. Nature 602, 414–419. doi:10.1038/s41586-021-04301-9 80 Views 57 Downloads Show more details All versions This version Views Total views 80 80 Downloads Total downloads 57 57 Data volume Total data volume 232.0 MB 232.0 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords fusion plasma Calcifer Condition information condensate reduced-order modeling Fröhlich-logistic equation temporal attractor spatial sphere stability critical radius safe extraction interval breath bound NIF ignition National Ignition Facility FAIR-MAST ITER · SPARC burning plasma Lawson criterion public-data validation pre-registration Mutual-Closure Theorem Information Physics Details DOI DOI Badge DOI 10.5281/zenodo.19957672 Markdown [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.19957672.svg)](https://doi.org/10.5281/zenodo.19957672) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19957672.svg :target: https://doi.org/10.5281/zenodo.19957672 HTML <a href="https://doi.org/10.5281/zenodo.19957672"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19957672.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19957672.svg Target URL https://doi.org/10.5281/zenodo.19957672 Resource type Preprint Publisher Zenodo Languages English Rights License CC-BY-NC 4.0 Creative Commons Attribution-NonCommercial 4.0 International License. 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