supercomputing

Therese Rosemann & Yannis Schumann (HSU): Digital  Competences and Digital Learning Behavior in Higher Education – Generation of individualized Feedback in a Longitudinal Study (DigiTaKS* and hpc.bw)
Researchers in the educational sciences often face the challenge of recruiting sufficient study participants to produce sound results. As one incentive for participation, an interactive, web-based dashboard was developed to provide study participants with retrospective, individual learning and usage data. We present first results from the longitudinal study, highlight key elements of our learning-analytics platform and discuss how the availability of such data might affect the self-reflection process of study participants.

Sergej Grednev (HSU): Prediction of Structure-Property Relationships in Cellular Materials
A range of machine learning models is implemented and compared regarding their aptitude to predict stress-strain curves under quasi-static compressive loading for a re-entrant auxetic structure. In a follow-up study an artificial neural network is trained to predict the expected specific energy absorption during compression.

Valentina Pessina (UniBw M): Modeling Rarefied and Continuous High Angle-of-Attack Hypersonic. Reentry into Martian Atmosphere with Open-Source Software
Hypersonic reentry of the Viking capsule in the Martian atmosphere is the object of this study. During the descending trajectory (140 Km – 31 km), the flow regime changes from free-molecular to continuous. Hence, the drag and lift characterization require different computational methods:  the DSMC method for higher altitudes and the Navier-Stokes-based CFD for the final descend, with an overlap for the transition regime. The numerical results are compared to the actual flight data. 

Maximilian Maigler (UniBw M): Coupled PIC-DSMC and Molecular Dynamics Modeling of Radio-Frequency. Gridded Ion Thruster Erosion
The high Isp, wide thrust range and reliability make ion thrusters one of the standard electric propulsion devices for attitude and orbit raising maneuvers of satellites. Estimating their lifetime and performance is crucial for mission planning. The approach of employing coupled PIC-DSMC simulations to numerically evaluate these parameters are presented and comparisons with experimental data given. Promising results have been achieved, allowing the modification of certain geometrical and operational parameters to increase the lifetime

The project hpc.bw establishes the seminar series “Computation & Data” at HSU. The goal of this interdisciplinary seminar is to bring together researchers and foster exchange on the development of algorithms, methods and software. The seminar series is scheduled for the last Wednesday every month, with two presentations per hybrid session (digital and on-site at HSU).

Ali Khalifa:  Neural Network-Based Multiscale Modeling of Deagglomeration due to Wall Impact and Collisions

Denis Kramer (HSU): t.b.a.

Feel free to subscribe the seminar newsletter by sending an e-mail to info-hpc-bw@hsu-hh.de with the subject line „Subscription Seminar Computation & Data”

The project hpc.bw establishes the seminar series “Computation & Data” at HSU. The goal of this interdisciplinary seminar is to bring together researchers and foster exchange on the development of algorithms, methods and software. The seminar series is scheduled for the last Wednesday every month, with two presentations per hybrid session (digital and on-site at HSU).

Sebastian Brandstäter (UniBw M):  Sensitivity Analysis for Biomechanical Models

Ruben Horn (HSU): Energy Efficiency of Molecular(- Continuum) Simulations

Feel free to subscribe the seminar newsletter by sending an e-mail to info-hpc-bw@hsu-hh.de with the subject line „Subscription Seminar Computation & Data”

Seminar Series "Computation & Data": The goal of the interdisciplinary seminar series “Computation & Data” at HSU is to bring together researchers and foster exchange on the development of algorithms, methods and software.

Fabian Dethof (HSU): Simulating “semi-guided” elastic wave propagation in concrete – understanding Impact Echo data

Lizzie Neumann (HSU): Confounder-adjusted Covariances of System Out-puts and Applications to Structural Health Monitoring

Feel free to subscribe the seminar newsletter by sending an e-mail to info-hpc-bw@hsu-hh.de with the subject line „Subscription Seminar Computation & Data”

Seminar Series "Computation & Data": The goal of the interdisciplinary seminar series “Computation & Data” at HSU is to bring together researchers and foster exchange on the development of algorithms, methods and software.

Marcus Stiemer (HSU): Mathematical Optimization and Machine Learning to Support Electronic Design Automation

Tyron Anton (HSU): Numerical Calculations using Ansysy. Initial Steps and its Challenges

Feel free to subscribe the seminar newsletter by sending an e-mail to info-hpc-bw@hsu-hh.de with the subject line „Subscription Seminar Computation & Data”

Seminar Series "Computation & Data": The goal of the interdisciplinary seminar series “Computation & Data” at HSU is to bring together researchers and foster exchange on the development of algorithms, methods and software.

Tobias Bohne (UniBw M): Predicting and Analyzing Violent Conflict using Ma-chine Learning Approaches

Feel free to subscribe the seminar newsletter by sending an e-mail to info-hpc-bw@hsu-hh.de with the subject line „Subscription Seminar Computation & Data”

Seminar Series "Computation & Data": The goal of the interdisciplinary seminar series “Computation & Data” at HSU is to bring together researchers and foster exchange on the development of algorithms, methods and software.

Tobias Katharina Goldberg: Legal Introduction to the AI Act 

Felix Gehlhoff: Working on the Edge: Harnessing AI at the Frontier of Professional Innovation

Feel free to subscribe the seminar newsletter by sending an e-mail to info-hpc-bw@hsu-hh.de with the subject line „Subscription Seminar Computation & Data”

Seminar Series "Computation & Data": The goal of the interdisciplinary seminar series “Computation & Data” at HSU is to bring together researchers and foster exchange on the development of algorithms, methods and software.

Daniel Wolff: Optimal design through learning-based approaches: Harnessing reinforcement learning and physics-informed neural networks for optimizing flow channels in profile extrusion dies

Feel free to subscribe the seminar newsletter by sending an e-mail to info-hpc-bw@hsu-hh.de with the subject line „Subscription Seminar Computation & Data”

Seminar Series "Computation & Data": The goal of the interdisciplinary seminar series “Computation & Data” at HSU is to bring together researchers and foster exchange on the development of algorithms, methods and software.

Feel free to subscribe the seminar newsletter by sending an e-mail to info-hpc-bw@hsu-hh.de with the subject line „Subscription Seminar Computation & Data”