AI and Nuclear Fusion Vol.1: From Nuclear Physics to Plasma Confinement

AI and Nuclear Fusion Vol.1: From Nuclear Physics to Plasma Confinement Series: "Thinking Seriously About Nuclear Fusion with AI" Volume 1 of 9 | Target: Policy, Investment, and Engineering Decision-Makers Author: Dosanko Tousan | AI Partner: Claude (Anthropic) License: MIT Document Classification Item Detail Purpose Establish the complete physical basis for evaluating nuclear fusion, from nuclear reactions through plasma confinement Audience Government policy advisors, energy investment analysts, aerospace engineers, fusion program managers Prerequisites Undergraduate-level physics (classical mechanics, electromagnetism, thermodynamics). All derivations are self-contained. Scope Part I: Nuclear binding energy → Coulomb barrier → Quantum tunneling → Reaction cross-sections → Fuel comparison. Part II: MHD equilibrium → Confinement configurations → Plasma instabilities → Transport theory Deliverables (1) Complete derivation chain from first principles, (2) Reproducible Python code for al