Su, S.
, Sherman, W.
and Terrill, J.
(2025),
AI-Powered ParaView for NIST: Enabling Accessible Scientific Visualization, VIS x GenAI 1st Workshop on GenAI, Agents, and the Future of VIS, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=960522, https://visxgenai.github.io/
(Accessed November 20, 2025)
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AI-Powered ParaView for NIST: Enabling Accessible Scientific Visualization
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Abstract
This position paper outlines the research agenda for National Institute of Standards and Technology (NIST)'s AI-Powered ParaView effort and how the research directly addresses and supports multiple action items within the America's AI Action Plan. How this project fits within NIST's existing generative artificial intelligence (GenAI) tooling infrastructure and the integration of the AI-Powered ParaView interface will also be described. We also propose a set of standards to objectively evaluate and compare the performance, capabilities, and effectiveness of AI-Powered ParaView. Collaboration projects between the visualization and scientific research communities at NIST are also being proposed to promote a better understanding of benefits of GenAI for scientific data exploration and visualization.Citation
VIS x GenAI 1st Workshop on GenAI, Agents, and the Future of VIS
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Immersive Visualization, Generative AI
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Created November 3, 2025, Updated November 18, 2025