Symposium on Machine Learning

Presentations

• Understanding the phase preferences of transition metal dichalcogenides using machine learning

  ORAL · Invited

  Nov. 4, 2023, 9:00 AM – Nov. 4, 2023, 9:36 AM

  Publication: Pankaj Kumar, Vinit Sharma, Sharmila N. Shirodkar and Pratibha Dev, "Predicting phase preferences of two-dimensional transition metal dichalcogenides using machine learning" Phys. Rev. Materials 6 (9), 094007 (2022) <br>https://link.aps.org/doi/10.1103/PhysRevMaterials.6.094007

  Presenters

  • Pratibha Dev

    Howard University

  Authors

  • Pratibha Dev

    Howard University

  • Pankaj Kumar

    Howard University

  • Sharmila N Shirodkar

    Howard University

  • Vinit Sharma

    University of Tennessee

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• The symbiotic relationship between ML and the Physical sciences

  ORAL · Invited

  Nov. 4, 2023, 9:36 AM – Nov. 4, 2023, 10:12 AM

  Presenters

  • federica bianco

    University of Delaware

  Authors

  • federica bianco

    University of Delaware

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• Can a machine learn chemistry?

  ORAL · Invited

  Nov. 4, 2023, 10:12 AM – Nov. 4, 2023, 10:48 AM

  Presenters

  • Jesus Perez Rios

    Stony Brook University

  Authors

  • Jesus Perez Rios

    Stony Brook University

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