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English(EN) TokaMind: A Multi-Modal Transformer Foundation Model for Tokamak Plasma Dynamics

TokaMind模型推动托卡马克等离子体动力学研究

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出TokaMind，一个开源的基础模型，用于托卡马克等离子体动力学。该模型采用多模态Transformer架构，并在MAST数据集的多种数据上进行了预训练，包括时间序列、2D剖面和视频。TokaMind在各种重建和预测任务上表现出色，优于现有基准，并突显了多模态预训练在聚变建模中的优势。 AI

影响 为复杂的聚变能源模拟提供了一个基础的、可适应的模型，可能加速研究。

排序理由 该集群包含一篇详细介绍新模型及其在基准测试上评估的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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TokaMind模型推动托卡马克等离子体动力学研究

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该集群包含一篇详细介绍新模型及其在基准测试上评估的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Tobia Boschi, Andrea Loreti, Nicola C. Amorisco, Rodrigo H. Ordonez-Hurtado, C\'ecile Rousseau, George K. Holt, Eszter Sz\'ekely, Alexander Whittle, Samuel Jackson, Adriano Agnello, Stanislas Pamela, Alessandra Pascale, Robert Akers, Juan Bernabe Moreno,… ·

    TokaMind：用于托卡马克等离子体动力学的多模态 Transformer 基础模型

    arXiv:2602.15084v2 Announce Type: replace-cross Abstract: We present TokaMind, to our knowledge the first open-source foundation model for tokamak plasma dynamics, based on a Multi-Modal Transformer (MMT) and pretrained on heterogeneous diagnostics from the publicly available MAS…

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