Organizer: Maria Cameron
When: Friday, 2PM
Where: Kirwan Hall MTH1310
Web Page: https://www.math.umd.edu/~mariakc/rit.html
Description: In recent years, machine learning techniques penetrated a tremendous variety of scientific fields. In particular, they gave rise to data-driven methods for the study of rare event in complex physical systems such as conformational changes in biomolecules, rearrangements of clusters of interacting particles, etc. These methods truly opened new horizons by enabling us to address problems that used to be intractable due to the curse of dimensionality. They are divided into two families: diffusion map-based and neural network-based. In this RIT we will explore methods for the study of rare events based on machine learning.

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  • Organizational meeting

    Speaker: Maria Cameron (UMCP) - https://www.math.umd.edu/~mariakc/

    When: Fri, September 10, 2021 - 2:00pm
    Where: MATH1310
  • Diffusion maps applied to molecular dynamics

    Speaker: Luke Evans (UMCP) - https://www.math.umd.edu/~evansal/

    When: Fri, September 24, 2021 - 2:00pm
    Where: MTH1310