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Information-Constrained Optimisation in Conceptual Nuclear Fusion

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Zenodo2026-02-13 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.18627477
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Further Expansion on "Optimisation Under Constraints", exploring nuclear fusion from a novel perspective: information-constrained optimisation under invariant physical constraints. Rather than relying solely on extreme thermal excitation, this work investigates how engineered initial conditions, velocity distributions, and lattice environments might influence reaction rates, electron screening, and tunnelling probabilities. The approach bridges nuclear physics, condensed-matter systems, and quantum engineering, taking inspiration from lattice confinement, muon-catalysed fusion, optical tweezers, and macroscopic quantum tunnelling. I'm always welcome to any constructive feedback, collaboration, and discussion, this is intended as an open exploration of ideas in fusion and optimisation, and I am always eager to share, refine, and expand my concepts and ideas.
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Zenodo
创建时间:
2026-02-13
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