OpenFusion

Workshops

• [2026-01-09] 智聚未来：AI 与核聚变交叉创新研讨会 [公众号信息]

🎯 Video Tutorials:

• JT-60SA, a step closer to fusion energy [Youtube]

• MIT’s Tiny Fusion Reactor Could Beat ITER [Youtube]

• Nuclear Fusion Breaks Multiple Records 2026.02 [Youtube] Nuclear fusion is the energy source of the future. But after decades of waiting for progress, people are understandably growing more and more skeptical that our fusion-powered future is actually on its way. Recently, though, the headlines have been filled with stories of fusion companies across the globe breaking different milestones. Is this real progress or just more hype? Let’s take a look.

🎯 q-distribution Prediction

• Wang, Shiao, et al. "Multi-modal fusion based q-distribution prediction for controlled nuclear fusion." International Conference on Brain Inspired Cognitive Systems. Singapore: Springer Nature Singapore, 2024. [Paper]

• Ma, Qingchuan, et al. "Exploiting memory-aware q-distribution prediction for nuclear fusion via modern hopfield network." International Conference on Brain Inspired Cognitive Systems. Singapore: Springer Nature Singapore, 2024. [Paper]

🎯 Foundation Models (1D, LLM, VLM) for Fusion

• XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion, Xiao Wang, Qingquan Yang, Fuling Wang, Qiang Chen, Wentao Wu, Yu Jin, Jingtao Jiang, Liye Jin, Bo Jiang, Dengdi Sun, Wanli Lv, Meiwen Chen, Zehua Chen, Guosheng Xu, Jin Tang arXiv Pre-print arXiv:2502.05615 [Paper]

🎯 AI4Fusion Survey

🎯 Fusion_2D_Inversion

🎯 Time_Series_Analysis

• HGTS-Former: Hierarchical HyperGraph Transformer for Multivariate Time Series Analysis, Xiao Wang, Hao Si, Fan Zhang, Xiaoya Zhou, Dengdi Sun, Wanli Lyu, Qingquan Yang, Jin Tang, arXiv:2508.02411 [Paper] [github.com/Event-AHU/Time_Series_Analysis]

🎯 PINNs and PDE

• Revisiting Heat Flux Analysis of Tungsten Monoblock Divertor on EAST using Physics-Informed Neural Network, Xiao Wang, Zikang Yan, Hao Si, Zhendong Yang*, Qingquan Yang*, Dengdi Sun, Wanli Lyu, Jin Tang [Paper]