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TokaMark benchmark accelerates AI for fusion energy plasma modeling

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced TokaMark, a new benchmark designed to evaluate AI models for predicting plasma dynamics in fusion energy reactors. This benchmark utilizes real experimental data from the MAST tokamak and includes 14 distinct tasks covering various physical mechanisms and operational use cases. TokaMark aims to standardize evaluation protocols and provide open-source tools and datasets to accelerate the development of data-driven AI approaches for fusion energy, addressing the current scarcity and fragmentation of fusion datasets. AI

IMPACT Standardizes AI model evaluation for fusion energy, potentially accelerating progress towards viable fusion power.

RANK_REASON The cluster describes a new benchmark and dataset for AI research in a specific scientific domain. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

TokaMark benchmark accelerates AI for fusion energy plasma modeling

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The cluster describes a new benchmark and dataset for AI research in a specific scientific domain. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

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

    TokaMark: A Comprehensive Benchmark for MAST Tokamak Plasma Models

    arXiv:2602.10132v3 Announce Type: replace-cross Abstract: Development and operation of commercially viable fusion energy reactors such as tokamaks require accurate predictions of plasma dynamics from sparse, noisy, and incomplete sensors readings. The complexity of the underlying…

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