文献类型：期刊文献

英文题名：An assessment framework for engineering feasibility and constraint diagnosis in fusion energy pathways

作者：Wen, Yicun[1];Liu, Ruiqi[2];Huang, Zhijun[3];Jin, Yang[1];Xue, Yifei[1];Wang, Yifeng[1];Zhu, Yu[1]

机构：[1]Inst Sci & Tech Informat Shanghai, Shanghai Lib, Shanghai 200031, Peoples R China;[2]Fudan Univ, Shanghai Med Coll, Xuhui Dist, Shanghai 200032, Peoples R China;[3]East China Univ Sci & Technol, Shanghai 200231, Peoples R China

年份：2026

卷号：8

期号：8

外文期刊名：DISCOVER APPLIED SCIENCES

收录：EI(收录号：20263321282896);Scopus(收录号：2-s2.0-105046975443);WOS:【ESCI(收录号:WOS:001845107800001)】；

基金：This article was supported by the 2025 Shanghai Key Think Tank Project titled "Research on the Development Path of Shanghai's New Energy Industry Driven by Disruptive Technologies", supported by Shanghai Planning Office of Philosophy and Social Science.

语种：英文

外文关键词：Nuclear fusion; Engineering feasibility; Path assessment; Constraint diagnosis; Data-driven decision-making

摘要：This study provides a comparative analysis of six fusion pathways using a four-dimensional conceptual framework: Technology Maturity (TM), Bottleneck Mitigation (BK), Diffusion (DF), and Future Potential (FP). Our analysis focuses on diagnosing current fusion pathways rather than forecasting commercialization or assigning a single composite ranking. The findings highlight that the success of fusion pathways depends not only on technological readiness but also on engineering deliverability. By grouping bottlenecks into four clusters (supply-chain & deliverability, fuel-cycle & resource preconditioning, tech-engineering coupling, governance & expectation-setting), we propose a dynamic, sequenced approach to intervention. The study reveals that while all pathways show high FP, near-term progress is constrained by bottlenecks, particularly in fuel-cycle closure, material durability, and maintainability. We also observe a misalignment between DF and FP, suggesting that managing these competing goals requires strategic governance and policy interventions. Additionally, AI and high-performance computing (HPC) platforms play a crucial role in accelerating technology development and mitigating bottlenecks.