computation

Events

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Monday, 9th & Tuesday 10th October, 2023

Digital Total

Audimax 1 & 2, Von-Melle-Park 4, 20146 Hamburg

The two-day event "Digital Total" is organized and conducted by the House of Computing & Data Science (HCDS) of the Universität Hamburg, in collaboration with partners from the scientific platform PIER PLUS and the Academy of Sciences and Humanities in Hamburg.

Day 1 - Computing & Data Science in the Metropolitan Region

The goal of the first day, which is co-organized by CDCS, is to showcase and consolidate the topics of Data Science / AI / Computation, which are strongly represented in the Hamburg Metropolitan Region. A key focus will be the discussion on a common PIER PLUS initiative called "PIER Computing and Data Science." Additionally, the Academy of Sciences and Humanities in Hamburg will host an interdisciplinary forum for exchanging ideas about the future of digital transformation in the metropolitan region and potential synergies among cross-institutional initiatives. The first day will be concluded with a social event in the evening.

Day 2 - Computing & Data Science at the Universität Hamburg

The second day will focus on Data Science / AI / Computation at the Universität Hamburg. It will also serve as the kickoff for introducing the Cross-Disciplinary Labs (CDLs) located within HCDS.

Alongside the presentations in Audimax 1 & 2, the foyer will feature posters showcasing various projects throughout the event, presented during two poster sessions on Day 1 and 2.

A detailed program and registration for Digital Total can be found here

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Wednesday, October 25th, 2023 | 16:00 -18:00 p.m.

Seminar Series Computation & Data

- Maria Maleshkova: Digital Twins – Building Blocks for Medical Data Science 
- Thomas Carraro: The HiBRAIN project: Combined data- and model-based design of lithium-ion battery electrodes using artificial intelligence

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Wednesday, November 29th, 2023 | 16:00 -18:00 p.m.

Seminar Series Computation & Data

hybrid session: digital and at HSU

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.

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Wednesday, December 13th, 2023 | 16:00 -18:00 p.m.

Seminar Series Computation & Data

hybrid session: digital and at HSU

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

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Wednesday, February 28th, 2024 | 16:00 -18:00 p.m.

Seminar Series Computation & Data

hybrid session: digital and at HSU

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”

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Wednesday, March 27th, 2024 | 16:00 -18:00 p.m.

Seminar Series Computation & Data

hybrid session: digital and at HSU

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”

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Wednesday, April 24th, 2024 | 16:00 -18:00 p.m.

Seminar Series: Computation & Data

hybrid session: digital and at HSU

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”

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Wednesday, May 29th, 2024 | 16:00 -18:00 p.m.

Seminar Series: Computation & Data

hybrid session: digital and at HSU

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”

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Wednesday, June 26th, 2024 | 16:00 -18:00 p.m.

Seminar Series: Computation & Data

hybrid session: digital and at HSU, seminar room 310 (HSU / UniBw H)

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

Nils Margenberg (HSU): Optimal Dirichlet boundary control by Fourier neu-ral operators applied to nonlinear optics

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”

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Thursday, May 25th, 2023 | 14:30-16:00

Series Computation & Data

HSU, Holstenhofweg 85, 22043 Hamburg, C2/S2 (container building) / seminar room 113-115

Gerhard Wellein: Application Knowledge Required: Performance Modeling for Fund and Profit & Axel Klawonn: What can machine learning be used for in domain decomposition methods?

Gerhard Wellein is a Professor for High Performance Computing at the Department for Computer Science of the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and holds a PhD in theoretical physics from the University of Bayreuth. He is a member of the board of directors of the German NHR-Alliance which coordinates the national HPC Tier-2 infrastructures at German universities. As a member of the scientific steering committees of the Leibniz Supercomputing Centre (LRZ) and the Gauss-Centre for Supercomputing (GCS) he is organizing and surveying the compute time application process for national HPC resources. Gerhard Wellein has more than twenty years of experience in teaching HPC techniques to students and scientists from computational science and engineering, is an external trainer in the Partnership for Advanced Computing in Europe (PRACE) and received the “2011 Informatics Europe Curriculum Best Practices Award” (together with Jan Treibig and Georg Hager) for outstanding teaching contributions. His research interests focus on performance modelling and performance engineering, architecture-specific code optimization, novel parallelization approaches and hardware-efficient building blocks for sparse linear algebra and stencil solvers.

Prof. Dr. Axel Klawonn heads the research group on numerical mathematics and scientific computing at the Universität zu Köln. The group works on the development of efficient numerical methods for the simulation of problems from computational science and engineering. This comprises the development of efficient algorithms, their theoretical analysis, and the implementation on large parallel computers with up to several hundreds of thousands of cores. A special focus in the applications is currently on problems from biomechanics/medicine, structural mechanics, and material science. The research is in the field of numerical methods for partial differential equations and high performance parallel scientific computing, including machine learning.

Universität Hamburg
Adeline Scharfenberg
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Universität Hamburg
Adeline Scharfenberg
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein. 

Universität Hamburg
Adeline Scharfenberg
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein.