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Machine Learning for Instrumentation and Measurement Science

FOCUS · MAR-S39 · ID: 3090175

Presentations

  • Stephen Jesse

    ORAL · Invited

    –

    Presenters

    • Stephen Jesse

      Oak Ridge National Laboratory

    Authors

    • Stephen Jesse

      Oak Ridge National Laboratory

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  • Physics-informed Bayesian Optimization of an Electron Microscope

    ORAL

    –

    Publication: Ma, Desheng, et al. "Physics-informed Bayesian Optimization of an Electron Microscope." (2023): 1875-1877.

    Presenters

    • Desheng Ma

      Cornell University

    Authors

    • Desheng Ma

      Cornell University

    • Steven E Zeltmann

      Cornell University

    • Desheng Ma

      Cornell University

    • Yu-Tsun Shao

      University of Southern California

    • Zhaslan Baraissov

      Cornell University

    • Cameron James Richard Duncan

      Cornell University

    • Adi Hanuka

      SLAC National Accelerator Laboratory

    • Auralee Edelen

      SLAC National Accelerator Laboratory

    • Jared Maxson

      Cornell University

    • David A Muller

      Cornell University

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  • Automatic tuning of quantum dot metrology experiments with noise-aware machine learning

    ORAL

    –

    Publication: N. Schoinas, Y. Rath, S. Norimoto, W. Xie, P. See, J. P. Griffiths, C. Chen, D. A. Ritchie, M. Kataoka, A. Rossi, I. Rungger; Fast characterization of multiplexed single-electron pumps with machine learning. Appl. Phys. Lett. 16 September 2024; 125 (12): 124001. https://doi.org/10.1063/5.0221387

    Presenters

    • Yannic Rath

      National Physical Laboratory

    Authors

    • Yannic Rath

      National Physical Laboratory

    • Nikolaos Schoinas

      National Physical Laboratory

    • Shota Norimoto

      National Physical Laboratory

    • Masaya Kataoka

      National Physical Laboratory

    • Alessandro Rossi

      University of Strathclyde

    • Ivan Rungger

      National Physical Laboratory (NPL), National Physical Laboratory

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  • Generative Kolmogorov-Arnold Network Architecture for Enhanced Quantative Small Angle Neutron Scattering Data Analysis

    ORAL

    –

    Presenters

    • Chi-Huan Tung

      Oak Ridge National Laboratory

    Authors

    • Chi-Huan Tung

      Oak Ridge National Laboratory

    • Wei-Ren Chen

      Oak Ridge National Lab

    • Changwoo Do

      Oak Ridge National Lab, Oak Ridge National Laboratory

    • Lijie Ding

      Oak Ridge National Laboratory

    • Jan-Michael Y Carrillo

      Oak Ridge National Laboratory, Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, 1 Bethel Valley Rd, Oak Ridge, TN 37830

    • Bobby G Sumpter

      Oak Ridge National Laboratory

    • Ming-Ching Chang

      University at Albany - State University of New York

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  • Machine Learning-Driven Automated Detection and Classification of Defects in Atomic Resolution STEM Images

    ORAL

    –

    Publication: 1) R. A. W. Ayyubi, James P. Buban, Robert F. Klie, Automated Defect Detection in Atomic Resolution STEM Images: A Machine Learning Approach with Variational Convolutional Autoencoders, Microscopy and Microanalysis, Volume 30, Issue Supplement_1, July 2024, ozae044.180, https://doi.org/10.1093/mam/ozae044.180<br>2) In Preparation: R. A. W. Ayyubi, James P. Buban, Robert F. Klie, Defect-Based Clustering of Atomic Resolution STEM Images Using Variational Convolutional Autoencoders.

    Presenters

    • Raja Abdul Wahab Ayyubi

      University of Illinois at Chicago

    Authors

    • Raja Abdul Wahab Ayyubi

      University of Illinois at Chicago

    • Seyfal Sultanov

      University of Illinois at Chicago

    • James P Buban

      University of Illinois at Chicago

    • Robert F Klie

      University of Illinois at Chicago

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  • FastPointNet: Fast Event Reconstruction for the KamLAND-Zen Experiment using FPGA-Deployed Machine Learning

    ORAL

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    Publication: https://arxiv.org/abs/2410.02991<br>Accepted by NeurIPS 2024 ML4PS Workshop<br>https://indico.cern.ch/event/1387540/contributions/6153578/

    Presenters

    • Alexander C Migala

      University of California, San Diego

    Authors

    • Alexander C Migala

      University of California, San Diego

    • Eugene Ku

      Argonne National Laboratory

    • Zepeng Li

      University of California, San Diego

    • Aobo Li

      University of California, San Diego

    View abstract →