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  • PAPERS

    2025

  • Plasma Confinement State Classification via FPP Relevant Microwave Diagnostics
    Clark, R., et al.
    Abstract
  • Robustness by Design: Interface Contracts for AI Control in High-Stakes Physical Systems
    Glukhov, V., et al.
    Abstract
  • Reconstruction-free magnetic control of DIII-D plasma with deep reinforcement learning
    Subbotin, G., et al.
    Abstract
  • Summary report from the mini-conference [APS DPP 2024] on Digital Twins for Fusion Research
    Schissel, D. P., et al.
    Abstract
  • Reconstructing the Plasma Boundary with a Reduced Set of Diagnostics
    Stokolesov, M., et al.
    Abstract
  • Validation of NSFsim as a Grad-Shafranov Equilibrium Solver at DIII-D
    Clark, R., et al.
    Abstract
  • Electromagnetic System Conceptual Design for a Negative Triangularity Tokamak
    Guizzo, S., et al.
    Abstract
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  • POSTERS

    2025

  • [APS DPP 2025] Machine Learning Approaches to Plasma State Mode Classification via Reactor Relevant Diagnostics at DIII-D
    Clark, R., et al.
    Abstract
  • [APS DPP 2025] Integrated tokamak control using NSFsim simulator
    Subbotin, G., et al.
    Abstract
  • [FEC 2025] Fusion Twin Platform: An Innovative Tool for Fusion Research and Education
    Zhurba, A., et al.
    Abstract
  • [FEC 2025] Reconstructing the Plasma Boundary with a Reduced Set of Diagnostics
    Stokolesov, M., et al.
    Abstract
  • [EPS 2025] Fusion Twin Platform: An Innovative Tool for Fusion Research and Education
    Zhurba, A., et al.
    Abstract
  • [EPS 2025] Design and Implementation of a Reinforcement Learning-based Plasma Shape Controller at DIII-D
    Subbotin, G., et al.
    Abstract
  • [EPS 2025] NSFsim Code for Machine Design and Scenario Development
    Nurgaliev, M., et al.
    Abstract
  • [OSSFE 2025] Developing a State-Oriented Plasma Control System
    Kachkin, A., et al.
    Abstract

  • 2024

  • [APS DPP 2024] NSFsim Validation as a DIII-D Plasma Equilibrium Simulator
    Clark, R., et al.
    Abstract
  • [EPS 2024] Validation and Verification of Synthetic Magnetic Diagnostics Based on Free Boundary Equilibrium Solver for DIII-D Plasma Control System
    Nurgaliev, M., et al.
    Abstract
  • [EPS 2024] Electromagnetic System Conceptual Design for a Negative Triangularity Tokamak
    Subbotin, G., et al.
    Abstract
  • [EEML 2024] Magnetic feedback control of DIII-D tokamak via deep reinforcement learning
    Granovskiy, A., et al.
    Abstract

  • TALKS

    2025

  • [IMEG 17] Integrated modeling for equilibrium, scenarios, and disruption processes in tokamaks with DINA and NSFsim
    Khairutdinov, E., et al.
    Download
  • [PhDiaFusion 2025] Novel tools for tokamak design and control
    Subbotin, G.
    Download
  • Plasma Control Online Meetup - May 6th, 2025
    Zhurba, A., Subbotin, G., Mele, A., Dubbioso, S., Glukhov, V.
    Presentations
  • [AI4X 2025] Magnetic control of tokamak plasma through deep reinforcement learning with privileged information
    Sorokin, D., et al.
    Download

  • BLOG

  • Tech Blog
    Our tech blog is a valuable source of information about our work and our thoughts on the fusion industry. Note that we also cross-post it as a LinkedIn newsletter.
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