Intelligent Computing for Nuclear Fusion: Cross-Innovation of AI and Controlled Nuclear Fusion
智算核聚变：AI 与可控核聚变的交叉创新
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| Jin Tang |
Xiao Wang |
| Anhui University, China |
Anhui University, China |
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| Summary: |
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- Controlled nuclear fusion stands as the most strategically significant frontier for humanity in pursuing the "ultimate clean energy source," and artificial intelligence is emerging as the core driving force behind breakthroughs in fusion research. To advance the deep integration of artificial intelligence and nuclear fusion, this forum focuses on the cross-disciplinary innovation of AI-enabled controlled nuclear fusion. It brings together leading experts and young scholars from computer science, artificial intelligence, plasma physics, and related fields to discuss cutting-edge applications of large models, machine learning, data-driven methods, and intelligent optimization in nuclear fusion. The forum facilitates in-depth exchanges on intelligent computing–driven fusion research, with a focus on how AI can improve experimental efficiency, reduce R&D costs, enhance device stability and safe operation, and accelerate the transition from scientific principles to engineering demonstration and commercialization. Through keynote speeches and achievement sharing, the forum builds a cross-disciplinary collaborative innovation platform, promotes the deep coupling of algorithms, data, and experimental devices, helps China seize technological leadership in the next-generation clean energy sector, and provides intelligent solutions and core support for achieving the "dual carbon" goals and energy security.
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- 可控核聚变是人类面向 “终极清洁能源” 最具战略意义的前沿方向，而人工智能正成为突破聚变研究瓶颈的核心驱动力。为推动人工智能与核聚变领域深度融合，本论坛聚焦AI 赋能可控核聚变这一交叉创新赛道，汇聚计算机科学、人工智能、等离子体物理等领域的顶尖专家与青年学者，共同探讨大模型、机器学习、数据驱动与智能优化在核聚变的前沿应用。论坛围绕智算驱动聚变研究展开深入交流，重点关注 AI 如何提升实验效率、降低研发成本、增强装置稳定性与安全运行能力，加速从科学原理走向工程示范与商业化落地。通过主旨报告与成果分享，搭建跨学科协同创新平台，推动算法、数据与装置深度耦合，助力我国在下一代清洁能源领域抢占技术制高点，为实现 “双碳” 目标与能源安全提供智慧方案与核心支撑。
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