Systematic Solution and Experimental Design for Controlled Nuclear Fusion Under the Universal Framework of Complex System Evolution

Controlled nuclear fusion, recognized as the ultimate solution to humanity's energy crisis, has failed to achieve sustained stable operation with an energy gain factor Q > 10 after 70 years of research. The traditional research paradigm treats plasma and confinement fields as two opposing entities, trapping itself in a vicious cycle of "more complex technology, more instabilities". Based on the universal underlying first principles of complex system evolution, this paper strictly deduces three basic axioms and constructs a universal operational framework applicable to all complex systems. From a system-level perspective, it diagnoses that the core dilemma of controlled nuclear fusion is the homologous association breakpoint caused by forced unification cognitive deviation. On this basis, this paper proposes abandoning the opposing logic of "externally applied magnetic field actively confining plasma" and adopting the neutral logic of "externally applied magnetic field inducing self-organization of plasma intrinsic magnetic field". An AI-driven standardized experimental process is designed. This solution is expected to achieve Q ≥ 20 at a magnetic field strength of 2.5 Tesla, which is only 1/3 of the magnetic field strength of traditional tokamaks, and reduce device costs by more than 90%, providing a brand-new theoretical and technical path for the engineering breakthrough of controlled nuclear fusion.