Lectures and Events - Department of Materials and Interfaces

Upcoming Lectures

  • June10

    11:00 AM

    Gerhard M.J. Schmidt Lecture Hall

    AI (R)Evolution in (Quantum) Chemistry and Physics

    Prof. Alexandre Tkatchenko

    Learning from data has led to paradigm shifts in a multitude of disciplines, including web, text and image search and...

    Learning from data has led to paradigm shifts in a multitude of disciplines, including web, text and image search and generation, speech recognition, as well as bioinformatics. Can machine learning enable similar breakthroughs in understanding (quantum) molecules and materials? Aiming towards a unified machine learning (ML) model of molecular interactions in chemical space, I will discuss the potential and challenges for using ML techniques in chemistry and physics. ML methods can not only accurately estimate molecular properties of large datasets, but they can also lead to new insights into chemical similarity, aromaticity, reactivity, and molecular dynamics. For example, the combination of reliable molecular data with ML methods has enabled a fully quantitative simulation of protein dynamics in water (https://arxiv.org/abs/2205.08306). While the potential of machine learning for revealing insights into molecules and materials is high, I will conclude my talk by discussing the many remaining challenges.

  • November18

    11:00 AM

    Gerhard M.J. Schmidt Lecture Hall

    Annual Gerhard Schmidt Lecture

    Prof. Angel Rubio

  • December16

    11:00 AM

    Gerhard M.J. Schmidt Lecture Hall

    title tbd

    Prof. Anke Weidenkaff

  • February17

    11:00 AM

    Gerhard M.J. Schmidt Lecture Hall

    title tbd

    Prof. Christian A. Nijhuis

  • March17

    11:00 AM

    Gerhard M.J. Schmidt Lecture Hall

    title tbd

    Prof. Wim Noorduin