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cs.AI2026
FusionMMT: A Unified Multimodal and Multitask Learning Framework for Nuclear Fusion
Qiang Chen, Xiao Wang, Qingquan Yang +5
With the growing global demand for energy, nuclear fusion has emerged as a promising direction for future clean energy. Tokamaks represent one of the leading approaches to magnetic…
cs.AI2026
Physics-Informed Neural Networks for Complex Eigenfrequency Identification and Mode Structure Reconstruction of the Ground-State ITG Branch
Dengdi Sun, Bingbing Zhang, Xiao Wang +5
Physics-informed neural networks (PINNs) combine sparse observations with physical equations, providing an important approach for modeling complex plasma processes and inferring un…