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          Artificial Intelligence for Accelerating Fusion Research and Development

          Closed for proposals

          Project Type

          Coordinated Research Project

          Project Code

          F13022

          CRP

          2349

          Approved Date

          5 May 2022

          Status

          Active - Ongoing

          Start Date

          16 August 2022

          Expected End Date

          30 November 2027

          Participating Countries

          Australia
          China
          India
          Italy
          Japan
          Republic of Korea
          Spain
          Sweden
          Switzerland
          United Kingdom of Great Britain and Northern Ireland
          United States of America

          Description

          For complete information about this Coordinated Research Project, please visit the CRP website: a href='https://nucleus.iaea.org/sites/ai4atoms/ai4fusion/a

          Objectives

          To accelerate fusion RD with ML/AI, through the creation of a platform and cross-community network for innovation and partnership with Member States.

          Specific objectives

          (WP1) To accelerate fusion RD by establishing a multi-machine database of experimental and simulation MFE data (adhering to FAIR/Open Science principles) for ML/AI-driven applications, and through increased access to knowledge and information of ML/AI methods for MFE

          (WP2) To accelerate fusion RD by establishing a database of experimental and simulation IFE data (adhering to FAIR/Open Science principles) for ML/AI-driven applications, and through increased access to knowledge and information of ML/AI methods for IFE.

          (WP3) To determine the feasibility of an image database from MFE and IFE data (adhering to FAIR/Open Science principles) for ML/AI-driven applications with potential to accelerate fusion RD.

          (WP4) To accelerate community integration, engagement and capacity building, as well as create and provide with access to knowledge and information in the area of ML/AI methods applied to fusion RD.

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