2 papers
cs.CV2024
Exploiting Memory-aware Q-distribution Prediction for Nuclear Fusion via Modern Hopfield Network
Qingchuan Ma, Shiao Wang, Tong Zheng +4
This study addresses the critical challenge of predicting the Q-distribution in long-term stable nuclear fusion task, a key component for advancing clean energy solutions. We intro…
cs.CV2024
Multi-modal Fusion based Q-distribution Prediction for Controlled Nuclear Fusion
Shiao Wang, Yifeng Wang, Qingchuan Ma +5
Q-distribution prediction is a crucial research direction in controlled nuclear fusion, with deep learning emerging as a key approach to solving prediction challenges. In this pape…