AI Agent for Autonomous Control and Closed-Loop Experimentation

FOCUS · MAR-P42 · ID: 4001045

Presentations

  • ORAL · Invited

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    Publication: 1. https://www.researchsquare.com/article/rs-7456716/v1;
    2. Y. Ni, Z. Chen, A. N. Petsch, E. Xu, C. Peng, A. Kolesnikov, S. Chowdhury, A. Bansil, J. B. Thayer and J. Turner, "Physics-guided dual implicit neural representations for source separation", Mach. Learn.: Sci. Technol. 6, 045042 (2025) doi: 10.1088/2632-2153/ae14ac;
    3. https://arxiv.org/abs/2509.15494;
    4. S. R. Chitturi, Z. Ji, A. N. Petsch, C. Peng, Z. Chen, R. Plumley, M. Dunne, S. Mardanya, S. Chowdhury, H. Chen, A. Bansil, A. Feiguin, A. I. Kolesnikov, D. Prabhakaran, S. M. Hayden, D. Ratner, C. Jia, Y. Nashed and J. J. Turner, "Capturing dynamical correlations using implicit neural representations", Nat. Commun. 14, 5852 (2023) doi: 10.1038/s41467-023-41378-4;
    5. Z. Chen, C. Peng, A. N. Petsch, S. R. Chitturi, A. Okullo, S. Chowdhury, C. H. Yoon and J. Turner, "Bayesian experimental design and parameter estimation for ultrafast spin dynamics", Mach. Learn.: Sci. Technol. 4, 045056 (2023) doi: 10.1088/2632-2153/ad113a;
    6. F. Liu, Z. Chen, T. Liu, R. Song, Y. Lin, J. J. Turner and C. Jia, "Self-supervised generative models for crystal structures", iScience 27, 110672 (2024) doi: 10.1016/j.isci.2024.110672;
    7. Z. Chen, A. N. Petsch, Z. Ji, S. R. Chitturi, C. Peng, C. Jia, A. I. Kolesnikov, J. B. Thayer and J. J. Turner, "Implicit neural representations for experimental steering of advanced experiments", Cell Rep. Phys. Sci. 6, 102333 (2024) doi: 10.1016/j.xcrp.2024.102333;
    8. S. R. Chitturi, N. G. Burdet, Y. Nashed, D. Ratner, A. Mishra, T. J. Lane, M. Seaberg, V. Esposito, C. H. Yoon, M. Dunne and J. J. Turner, "A machine learning photon detection algorithm for coherent x-ray ultrafast fluctuation analysis", Struct. Dyn. 9, 054302 (2022) doi: 10.1063/4.0000161;
    9. Z. Chen, C. Wang, M. Gao, C. H. Yoon, J. B. Thayer and J. J. Turner, "Augmenting X-ray single-particle imaging reconstruction with self-supervised machine learning", Newton 100110 (2025) doi: 10.1016/j.newton.2025.100110
    10. G. Goetzke, R. Plumley, G. hartmann, T. Maxwell, F.-J. Decker, A. Lutman, M. Dunne, D. Ratner and J. Turner, "femto-PIXAR: a self-supervised neural network method for reconstructing femtosecond X-ray free electron laser pulses", Opt. Express (2025) doi: 10.1364/OE.562798

    Presenters

    • Joshua J Turner

      • SLAC National Accelerator Laboratory

    Authors

    • Joshua J Turner

      • SLAC National Accelerator Laboratory

    View abstract →

  • ORAL

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    Publication: Y.-H. Zhang, C. Sipling, M. Di Ventra. Scientific Discovery as Meta-Optimization: An AI-Driven Framework for Autonomous Research. In preparation.

    Presenters

    • Yuan-Hang Zhang

      • University of California, San Diego

    Authors

    • Yuan-Hang Zhang

      • University of California, San Diego

    • Chesson Sipling

      • University of California, San Diego

    • Massimiliano Di Ventra

      • University of California, San Diego

    View abstract →

  • ORAL

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    Publication: C. Sipling, Y.-H. Zhang, M. Di Ventra. AI-Assisted Memcomputing: Generating Quality Metrics for Hyperparameter Optimization. Planned publication.

    Presenters

    • Chesson Sipling

      • University of California, San Diego

    Authors

    • Chesson Sipling

      • University of California, San Diego

    • Yuan-Hang Zhang

      • University of California, San Diego

    • Massimiliano Di Ventra

      • University of California, San Diego

    View abstract →

  • ORAL

    –

    Presenters

    • Maximilian Nägele

      • Max Planck Institute for Science of Light

    Authors

    • Maximilian Nägele

      • Max Planck Institute for Science of Light

    • Florian Marquardt

      • Friedrich-Alexander University Erlangen-Nuremberg
      • Max Planck Institute for the Science of Light

    View abstract →

  • ORAL

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    Publication: Planned paper: Self-driving thin film laboratory: autonomous epitaxial atomic-layer synthesis via real-time computer vision of electron diffraction (subject to change)

    Presenters

    • Haotong Liang

      • University of Maryland College Park

    Authors

    • Haotong Liang

      • University of Maryland College Park

    • Yunlong Sun

      • Institute for Solid State Physics, University of Tokyo

    • Ryan S Paxson

      • University of Maryland
      • University of Maryland College Park

    • Aaron G Kusne

      • University of Maryland College Park

    • Mikk Lippmaa

      • Institute for Solid State Physics, University of Tokyo

    • Ichiro Takeuchi

      • University of Maryland College Park

    • Chih-Yu Lee

      • University of Maryland College Park
      • University of Maryland

    • Alex T Hall

      • University of Maryland College Park
      • University of Maryland

    View abstract →