Materials and Megabytes

Stanford Materials Computation and Theory Group, Qian Yang's lab at the University of Connecticut

Exploring the development of machine learning for materials science, physics, and chemistry applications through conversation with researchers at the forefront of this growing interdisciplinary field. Brought to you in collaboration by the Stanford Materials Computation and Theory Group and Qian Yang's lab at the University of Connecticut.

  • 13 January 2020, 3:00 pm

    Paper Interview - Learning from Failure: Predicting Electronic Structure Calculation Outcomes with Machine Learning Models

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    22 minutes 58 seconds
  • 14 September 2019, 6:00 pm

    Paper interview - Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data

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    23 minutes 55 seconds
  • 9 April 2019, 7:00 pm

    Turab Lookman (Season 2, Ep.4)

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    18 minutes 59 seconds
  • 15 February 2019, 8:00 am

    Patrick Riley (Season 2, Ep. 3)

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    24 minutes 28 seconds
  • 25 January 2019, 8:00 pm

    O. Anatole von Lilienfeld (Season 2, Ep. 2)

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    22 minutes 49 seconds
  • 24 January 2019, 8:00 am

    Gábor Csányi (Season 2, Ep. 1)

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    40 minutes 26 seconds
  • 3 July 2018, 7:00 am

    Evan J. Reed (Season 1, Ep. 3)

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    19 minutes 53 seconds
  • 2 July 2018, 7:00 am

    Ekin Dogus Cubuk (Season 1, Ep. 2)

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    28 minutes 22 seconds
  • 1 July 2018, 7:00 am

    Kieron Burke (Season 1, Ep. 1)

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    14 minutes 26 seconds
  • 30 June 2018, 7:00 am

    Introduction (Season 1, Ep. 0)

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    2 minutes 19 seconds
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