FusionMMT: A Unified Multimodal and Multitask Learning Framework for Nuclear Fusion

arXiv:2609.26095 · cs.AI, cs.CV · Submitted 2026-08-06 · Read on arXiv

cs.AI, cs.CV

Submitted: 2026-08-06

Updated: 2026-08-06

Code: https://github.com/Event-AHU/OpenFusion

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• AUC — 16× in this paper · explained in 2 episodes
• Ablation — 13× in this paper · explained in 1 episode
• Progressive Multitask Optimization — 9× in this paper
• Multimodal Fusion — 8× in this paper · explained in 3 episodes
• Adaptive Multimodal Fusion — 6× in this paper · explained in 1 episode
• Transformer — 6× in this paper · explained in 2 episodes
• Ablation study — 5× in this paper · explained in 1 episode
• Representation Learning — 3× in this paper · explained in 2 episodes
• Unified Framework — 3× in this paper · explained in 5 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Aggregation — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Multimodal Inputs — 2× in this paper · explained in 2 episodes
• Multimodal Learning — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Embeddings — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes

Sources

• PanoMHD: Multimodal Modelling of Plasma Dynamics towards Tokamak Control
• TokaMark: A Comprehensive Benchmark for MAST Tokamak Plasma Models
• TokaMind: A Multi-Modal Transformer Foundation Model for Tokamak Plasma Dynamics

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