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Tuesday, 19.12.2017 10:00

Matthias Rupp (Fritz-Haber-Institute of the Max-Planck-Society)

Computational discovery, design and study of novel molecules and materials requires accurate electronic structure calculations, whose high computational cost is often a limiting factor. In high-throughput settings, machine learning can significantly reduce overall computational costs by rapidly and accurately interpolating between reference calculations. Effectively, the problem of solving a complex equation such as the electronic Schrödinger equation for many related poly-atomic systems is mapped onto a nonlinear statistical regression problem [1].

I will introduce...

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Tuesday, 19.12.2017 15:00

Jan Palouš (Dept. of Galaxies and Planetary Systems, Astronomical Institute, Czech Acad. of Sci.)

Abstract: Hubble Frontier Fields show galaxies deep in the past at red shifts up to 8. This is the time shortly after the reionization of the universe and formation of the first stars. Sizes of star forming clouds are at the level of 10 pc only, close to the dimesions of globular clusters. The early enrichment by yields of stellar evolution and dust is essential ingredient in the explanation of presence of multiple stellar generations in globular clusters. Massive star clusters form also in the local universe and I will speculate how is the early star formation producing...

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