Veranstaltungsort: FIAS Lecture Hall / online

Unsere nächste Ausgabe der "CMMS Talks" findet am Donnerstag, den 25. Januar 2024 um 14.00 Uhr im FIAS-Hörsaal statt. Sprechen wird Prof. Dr. Tristan Bereau (Universität Heidelberg).

Der Vortrag wird in englischer Sprache gehalten, daher sind die folgenden Informationen ebenfalls Englisch. 

Abstract:

Advanced statistical methods are rapidly impregnating many scientific fields, offering new perspectives on long-standing problems. In materials science, data-driven methods are already bearing fruit in various disciplines, such as hard condensed matter or inorganic chemistry, while comparatively little has happened in soft matter. I will describe how we use multiscale simulations to leverage data-driven methods in soft matter. We aim at establishing structure-property relationships for complex thermodynamic processes across the
chemical space of small molecules. Akin to screening experiments, we devise a high-throughput coarse-grained simulation framework. Coarse-graining is an appealing screening strategy for two main reasons: it significantly reduces the size of chemical space and it can suggest a low-dimensional representation of the structure-property relationship. I will briefly mention a biological application of our methodology that led to the discovery of in vivo active compounds. Finally, I will mention a number of ways machine learning can help fulfill the promise of connecting models at different scales.

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We will run a Zoom session:

Zoom2 FIAS lädt Sie zu einem geplanten Zoom-Meeting ein. Thema: CMMS Talks WS 23/24

Meeting-ID: 876 8546 2244 Kenncode: 870812

CMMS Project