Name: Machine Learning for Materials Science Date: Date: October 21 - 23, 2024, 9.00 am - 01.00 pm Format: Online More Information & Register Description Short abstract: Data Science and Machine Learning are seen as the “Forth Paradigm” in Materials Science and are reshaping the research direction in many areas. In this training, […]
Name: Numerical Methods for Combustion Date: November 21 - November 22, 02.00 pm - 06.00 pm, 2024 Format: Online More Information & Register Description Short abstract: TBD
Name: Process Mining and HPC clusters Date: December 9, 09.00 am - 01.00 pm, 2024 Format: Online More Information & Register Description Short abstract: Integrating process mining (PM) with High-Performance Computing (HPC) clusters involves extracting SLURM-scheduled logs for PM analysis. Our findings indicate that HPC users underutilize SLURM’s capabilities as a Workflow Management […]
Name: Methods of AutoML and how to utilize them Date: March 20, 2025 Format: Online More Information & Register Description Short abstract: Machine Learning methods are on the rise in the scientific and HPC community due to several reasons, e.g. to speed up computations or help researchers to handle lots of data. However, […]
Name: Parallelization in OpenFOAM for HPC Deployment Date: April 3 (4hrs) & 10 (5hrs), 2025, 10am - 4pm Format: Online More Information & Register Description Short abstract: OpenFOAM is an open-source, mature, and established C++ library for computational continuum mechanics (CCM) including Computational Fluid Dynamics (CFD). To leverage its full potential, it is […]
Name: CFD Training Series: Introduction to Finite Element Methods for Flow Problems Date: 29.04.2025, 01.00 pm - 05.00 pm Format: Online More Information & Register Description Short abstract: In this course, we cover various techniques to solve fluid flow problems using the finite element method. Topics of numerical instabilities that result from the […]
Name: CFD Training Series: Introduction to Scientific Computing with ParaView Date: 06.05.2025, 10.00 am - 5.00 pm Format: Online via zoom More Information & Register Description Short abstract: Scientific Visualization allows researchers to gain visual insights into complex data, that would otherwise be hidden within numbers and models. This is especially true for […]
Name: CFD Training Series: Introduction to Discontinuous Galerkin Methods for Flow Problems Date: 06.05.2025, 1.00 pm - 5.00 pm Format: Online More Information & Register Description Short abstract: In this course, we cover the main building blocks to solve fluid flow problems using the Discontinuous Galerkin (DG) method. The course consists of a […]
Name: Materials Science with Advanced Data Management and Data Science Techniques Date: May 07-08, 2025 Format: Online More Information & Register Description We invite you to our NHR4CES Community Workshop 2025! This year’s topic is Materials Science with Advanced Data Management and Data Science Techniques. The online workshop is organized by SDL Materials […]
Name: CFD Training Series: Efficient HPC implementation for Lagrangian particle tracking Date: 13.05.2025, 1.00 pm - 5.00 pm Format: hybrid More Information & Register Description Short abstract: In this course, the basics of Lagrangian point particle methods for the application on HPC systems are covered. The course consists of an introduction to the […]
Name: Getting Started with HPC in Research Date: January 21, 2026 Format: hybrid More information & registration Description Short abstract: This workshop focuses on HPC basics for (medical) researchers. It covers underlying concepts, the basics of how to use the HPC infrastructure for your work, as well as details on the application process. It […]
Name: Version Control for Researchers Date: January 22, 2026 Format: hybrid More information & registration Description Short abstract: This workshop focuses on Version Control basics for researchers. It covers underlying concepts, the basic concepts, and encourages good code quality in projects. It works for a general audience but is tailored for the medical community. […]
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