Data Science and Machine Learning for Physics

Presentations

• PearSAN: an inverse design framework for the latent optimization of photonic devices using Pearson Correlated Surrogate Annealing

  ORAL

  March 21, 2025, 11:00 AM – March 21, 2025, 11:12 AM

  Publication: Bezick et al. (2024). PearSAN: A Machine Learning Method for Inverse Design using<br>Pearson Correlated Surrogate Annealing. Planned Manuscript.

  Presenters

  • Michael Bezick

    Purdue University

  Authors

  • Michael Bezick

    Purdue University

  • Blake A Wilson

    Purdue University

  • Vea Iyer

    Purdue University

  • Yuheng Chen

    Purdue University

  • Vladimir M Shalaev

    Purdue University, Elmore Family School of Electrical and Computer Engineering,Birck Nanotechnology Center, Purdue University, Elmore Family School of Electrical and Computer Engineering, Purdue Quantum Science and Engineering Institute,Birck Nanotechnology Center, Purdue University

  • Sabre Kais

    North Carolina State University, Purdue University, Department of Chemistry, Purdue University, West Lafayette, IN 47907 & Department of Electrical and Computer Engineering, North Carolina State University Raleigh, NC, 2760

  • Alexander V Kildishev

    Purdue University

  • Alexandra Boltasseva

    Purdue University, Elmore Family School of Electrical and Computer Engineering,Birck Nanotechnology Center, Purdue University, Elmore Family School of Electrical and Computer Engineering, Purdue Quantum Science and Engineering Institute,Birck Nanotechnology Center, Purdue University

  • Brad Lackey

    Microsoft, Microsoft Quantum

  View abstract →

• Beyond Explainability: Towards Interpretable Machine Learning for Physics

  ORAL

  March 21, 2025, 11:12 AM – March 21, 2025, 11:24 AM

  Presenters

  • Kacper Jakub Cybinski

    University of Warsaw

  Authors

  • Kacper Jakub Cybinski

    University of Warsaw

  • Anna Dawid

    Leiden University

  View abstract →

• Cosmic Cartography: Photometric Redshifts for Next-Generation Sky Surveys

  ORAL

  March 21, 2025, 11:24 AM – March 21, 2025, 11:36 AM

  Presenters

  • Biprateep Dey

    University of Toronto

  Authors

  • Biprateep Dey

    University of Toronto

  • Jeffrey A Newman

    University of Pittsburgh

  • Brett Andrews

    University of Pittsburgh

  • Ann Lee

    Carnegie Mellon University

  • Rafael Izbicki

    University of Sao Carlos

  View abstract →

• Generalized aliasing: a new paradigm for learning and inference

  ORAL

  March 21, 2025, 11:36 AM – March 21, 2025, 11:48 AM

  Publication: https://arxiv.org/pdf/2408.08294

  Presenters

  • Gus L.W. Hart

    Brigham Young University

  Authors

  • Gus L.W. Hart

    Brigham Young University

  • Mark K Transtrum

    Brigham Young University

  • Tyler Jarvis

    Brigham Young University

  • Jared P Whitehead

    Brigham Young University

  View abstract →

• Oral: Gaussian Process Active Learning for 5-Parameter Heisenberg Hamiltonian Phase Diagram

  ORAL

  March 21, 2025, 11:48 AM – March 21, 2025, 12:00 PM

  Presenters

  • Edward Jansen

    Adelphi University

  Authors

  • Edward Jansen

    Adelphi University

  View abstract →

• Recruiting Outside Talent to Find the World's Smallest Machines

  ORAL

  March 21, 2025, 12:00 PM – March 21, 2025, 12:12 PM

  Presenters

  • Braxton B Owens

    Brigham Young University

  Authors

  • Braxton B Owens

    Brigham Young University

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• Learning collective motions in soft matter by dynamic mode decomposition

  ORAL

  March 21, 2025, 12:12 PM – March 21, 2025, 12:24 PM

  Presenters

  • Meng Shen

    California State University, Fullerton

  Authors

  • Meng Shen

    California State University, Fullerton

  View abstract →