| Time | Thursday Oct 17, 2024 |
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| Multi-Day events |
| 9:00 | |
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| 18:00 |
Predicting the electronic structure of matter at scale with machine learning
Speaker Attila CangiAffiliation Speaker Helmholtz-Zentrum Dresden-RossendorfTime 1:00 PM - 3:00 PMSeries TUD nanoSeminarLocation HAL Bürogebäude - 115 TUD Materials Science - HALDescription In this presentation, I will discuss our recent advancements in utilizing machine learning to significantly enhance the efficiency of electronic structure calculations [1].…From BIG data to HOT extreme-properties of high entropy carbides carbo nitrides and borides
Speaker Stefano CurtaroloAffiliation Speaker Materials Science, Electrical Engineering and Physics Director, Center for Extreme Materials Duke UniversityTime 1:40 PM - 3:40 PMSeries TUD nanoSeminarLocation HAL Bürogebäude - 115 TUD Materials Science - HALDescription The need for improved functionalities in extreme environments is fueling interest in high entropy ceramics While resilient compositions can be stabilized by maximizing entropy…In search of a global modulator for biological tempo
Speaker Miki EbisuyaAffiliation Speaker Chair of Cell and Tissue Control and Cluster of Excellence Physics of Life (PoL), TU DresdenTime 4:40 PM - 6:10 PMLocation Fritz-Foerster-Bau, Auditorium 244, Mommsenstr. 6, 01069 Dresden TUDDescription Prof. Ebisuya explores why biological processes tend to occur more slowly in humans compared to mice. Her group studies species-specific biological tempo by using stem cells from…
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