Conference Agenda

Session
S22.04: Scientific computing
Time:
Thursday, 18/Mar/2021:
8:30am - 10:30am

Session Chair: Andrea Walther
Location: Z022
https://uni-kassel.zoom.us/my/zgamm22

External Resource: https://uni-kassel.zoom.us/my/zgamm22
Presentations
8:30am - 8:50am

Combining machine learning and adaptive coarse spaces to design robust and efficient FETI-DP methods

J. Weber, A. Heinlein, A. Klawonn, M. Lanser

University of Cologne, Germany



8:50am - 9:10am

Towards multi-fidelity machine learning in scientific computing

P. Zaspel

Jacobs University Bremen, Germany



9:10am - 9:30am

Data-driven Parameter Identification in Nonlinear Dynamical Systems

R. Pulch, M. Youssef

Universit├Ąt Greifswald, Germany



9:30am - 9:50am

Deep Learning Classification of Compton Camera Based Prompt Gamma Imaging Data for Proton Radiotherapy

C. A. Barajas1, G. Kroiz1, M. K. Gobbert1, J. Polf2

1University of Maryland, Baltimore County, United States of America; 2University of Maryland School of Medicine, United States of America



9:50am - 10:10am

Estimating divergence-free flows via neural networks

D. Kabanov1, L. Espath1, R. Tempone1,2

1RWTH Aachen University, Germany; 2King Abdullah University of Science and Technology, Saudi Arabia