Showing 1 - 9 results of 9 for search 'Ryan Coffee', query time: 0.03s Refine Results
  1. 1
    Enabling real-time adaptation of machine learning models at x-ray Free Electron Laser facilities with high-speed training optimized computational hardware

    Enabling real-time adaptation of machine learning models at x-ray Free Electron Laser facilities with high-speed training optimized computational hardware by Petro Junior Milan, Hongqian Rong, Craig Michaud, Naoufal Layad, Zhengchun Liu, Ryan Coffee, Ryan Coffee

    Published 2022-10-01
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  2. 2
    Waveform retrieval for ultrafast applications based on convolutional neural networks

    Waveform retrieval for ultrafast applications based on convolutional neural networks by Najd Altwaijry, Ryan Coffee, Matthias F. Kling

    Published 2024-06-01
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  3. 3
    Data reduction through optimized scalar quantization for more compact neural networks

    Data reduction through optimized scalar quantization for more compact neural networks by Berthié Gouin-Ferland, Ryan Coffee, Audrey C. Therrien

    Published 2022-09-01
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  4. 4
    Automatic identification of edge localized modes in the DIII-D tokamak

    Automatic identification of edge localized modes in the DIII-D tokamak by Finn H. O’Shea, Semin Joung, David R. Smith, Ryan Coffee

    Published 2023-06-01
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  5. 5
    Accelerating data acquisition with FPGA-based edge machine learning: a case study with LCLS-II

    Accelerating data acquisition with FPGA-based edge machine learning: a case study with LCLS-II by Mohammad Mehdi Rahimifar, Quentin Wingering, Berthié Gouin-Ferland, Ryan Coffee, Audrey C Therrien

    Published 2024-01-01
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  6. 6
    Coincidence anomaly detection for unsupervised locating of edge localized modes in the DIII-D tokamak dataset

    Coincidence anomaly detection for unsupervised locating of edge localized modes in the DIII-D tokamak dataset by Finn H O’Shea, Semin Joung, David R Smith, Daniel Ratner, Ryan Coffee

    Published 2024-01-01
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  7. 7
    Applying Bayesian inference and deterministic anisotropy to retrieve the molecular structure ∣Ψ(R)∣2 distribution from gas-phase diffraction experiments

    Applying Bayesian inference and deterministic anisotropy to retrieve the molecular structure ∣Ψ(R)∣2 distribution from gas-phase diffraction experiments by Kareem Hegazy, Varun Makhija, Phil Bucksbaum, Jeff Corbett, James Cryan, Nick Hartmann, Markus Ilchen, Keith Jobe, Renkai Li, Igor Makasyuk, Xiaozhe Shen, Xijie Wang, Stephen Weathersby, Jie Yang, Ryan Coffee

    Published 2023-11-01
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  8. 8
    Publisher Correction: Applying Bayesian inference and deterministic anisotropy to retrieve the molecular structure |Ψ(R)|2 distribution from gas-phase diffraction experiments

    Publisher Correction: Applying Bayesian inference and deterministic anisotropy to retrieve the molecular structure |Ψ(R)|2 distribution from gas-phase diffraction experiments by Kareem Hegazy, Varun Makhija, Phil Bucksbaum, Jeff Corbett, James Cryan, Nick Hartmann, Markus Ilchen, Keith Jobe, Renkai Li, Igor Makasyuk, Xiaozhe Shen, Xijie Wang, Stephen Weathersby, Jie Yang, Ryan Coffee

    Published 2023-12-01
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  9. 9
    A sensitive high repetition rate arrival time monitor for X-ray free electron lasers

    A sensitive high repetition rate arrival time monitor for X-ray free electron lasers by Michael Diez, Henning Kirchberg, Andreas Galler, Sebastian Schulz, Mykola Biednov, Christina Bömer, Tae-Kyu Choi, Angel Rodriguez-Fernandez, Wojciech Gawelda, Dmitry Khakhulin, Katharina Kubicek, Frederico Lima, Florian Otte, Peter Zalden, Ryan Coffee, Michael Thorwart, Christian Bressler

    Published 2023-04-01
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