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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250506T100000
DTEND;TZID=Europe/Berlin:20250506T170000
DTSTAMP:20260808T200946
CREATED:20250128T130005Z
LAST-MODIFIED:20250128T130005Z
UID:7346-1746525600-1746550800@blog.rwth-aachen.de
SUMMARY:[:en]NHR4CES - CFD Training Series: Introduction to Scientific Computing with ParaView[:]
DESCRIPTION:Name: CFD Training Series: Introduction to Scientific Computing with ParaView \nDate: 06.05.2025\, 10.00 am – 5.00 pm \nFormat: Online via zoom \nMore Information & Register \n  \n\n  \nDescription\n\n\nShort abstract:\n\nScientific Visualization allows researchers to gain visual insights into complex data\, that would otherwise be hidden within numbers and models. This is especially true for data describing physical phenomena\, from blood flow simulations to combustion processes. The de-facto standard tool for visualization in these domains is ParaView. It is an open-source\, multi-platform scientific data analysis and visualization tool that enables analysis and visualization of extremely large datasets. \nIn this course\, attendants will learn the basics of scientific visualization and how these can be applied in ParaView\, including filtering\, rendering\, and animating complex data. \nInformation about CSG Visualization 
URL:https://blog.rwth-aachen.de/itc-events/en/event/nhr4ces-cfd-training-series-introduction-to-scientific-computing-with-paraview/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Events,NHR4CES Events,Wiederkehrend
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250506T130000
DTEND;TZID=Europe/Berlin:20250506T170000
DTSTAMP:20260808T200946
CREATED:20250128T131603Z
LAST-MODIFIED:20250128T131603Z
UID:7348-1746536400-1746550800@blog.rwth-aachen.de
SUMMARY:[:en]NHR4CES - CFD Training Series: Introduction to Discontinuous Galerkin Methods for Flow Problems[:]
DESCRIPTION:Name: CFD Training Series: Introduction to Discontinuous Galerkin Methods for Flow Problems \nDate: 06.05.2025\, 1.00 pm – 5.00 pm \nFormat: Online \nMore Information & Register \n  \n\n  \nDescription\n\n\nShort abstract:\n\nIn this course\, we cover the main building blocks to solve fluid flow problems using the Discontinuous Galerkin (DG) method. The course consists of a combination of presentations and hands-on exercises in which a simple DG flow solver is implemented and run on some test cases within our open-source code framework BoSSS. \nInformation about SDL Fluids
URL:https://blog.rwth-aachen.de/itc-events/en/event/nhr4ces-cfd-training-series-introduction-to-discontinuous-galerkin-methods-for-flow-problems-2/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Events,NHR4CES Events,Wiederkehrend
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250507
DTEND;VALUE=DATE:20250509
DTSTAMP:20260808T200946
CREATED:20250128T131935Z
LAST-MODIFIED:20250128T131935Z
UID:7350-1746576000-1746748799@blog.rwth-aachen.de
SUMMARY:[:en]NHR4CES - Materials Science with Advanced Data Management and Data Science Techniques[:]
DESCRIPTION:Name: Materials Science with Advanced Data Management and Data Science Techniques \nDate: May 07-08\, 2025 \nFormat: Online \nMore Information & Register \n  \n\n  \nDescription\n\n\nWe 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 Design\, CSG Data Management and CSG Data Science and Machine Learning. The workshop will take place on May 07\, 1pm-5pm and May 08\, 9am-1pm. \n\nWith the increasing computational power\, an abundance of data has become available in different research fields. To handle such an ever increasing amount of data\, tools such as data management\, machine learning and/or workflow managers receive increasing attention. In the field of materials science such approaches allow to investigate a wide range of materials and their properties in a systematic manner. The workflow managers are used in high-throughput calculations leading to the generation of huge amount of data. Although\, high-throughput calculations are limited by the structure size. Structures with >10^3 atoms are limited by the computational resources. Researchers use the generated data and/or intelligent data mining as an input to machine learning techniques to investigate material properties\, beyond limitations imposed by computational resources. \n\n\nAdditionally\, through the collection of rich metadata in all steps of the workflow\, results can be easily reproduced and reused by other researchers. This workshop is going to cover major parts of a data life cycle from generation of data via automatized workflow\, their collection using data manager solutions\, and their processing and/or re-using via application of machine learning while following the FAIR data principles.
URL:https://blog.rwth-aachen.de/itc-events/en/event/nhr4ces-materials-science-with-advanced-data-management-and-data-science-techniques/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Events,NHR4CES Events,Wiederkehrend
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250513T130000
DTEND;TZID=Europe/Berlin:20250513T170000
DTSTAMP:20260808T200946
CREATED:20250128T132211Z
LAST-MODIFIED:20250128T132211Z
UID:7352-1747141200-1747155600@blog.rwth-aachen.de
SUMMARY:[:en]NHR4CES - CFD Training Series: Efficient HPC implementation for Lagrangian particle tracking[:]
DESCRIPTION:Name: CFD Training Series: Efficient HPC implementation for Lagrangian particle tracking \nDate: 13.05.2025\, 1.00 pm – 5.00 pm \nFormat: hybrid \nMore Information & Register \n  \n\n  \nDescription\n\n\nShort abstract:\n\nIn 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 applied method\, followed by a hands-on exercise using the in-house simulation framework m-AIA. The topics covered are spherical and non-spherical particles and the efficient implementation of point particle methods for the use in HPC. The course will be held in person at the Chair of Fluid Mechanics and Institute of Aerodynamics at RWTH Aachen University in Aachen. The presentations will also be available via online live stream.\n\n\nInformation about SDL Fluids
URL:https://blog.rwth-aachen.de/itc-events/en/event/nhr4ces-cfd-training-series-efficient-hpc-implementation-for-lagrangian-particle-tracking-2/
LOCATION:Hybrid
CATEGORIES:HPC Events,NHR4CES Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250520T130000
DTEND;TZID=Europe/Berlin:20250520T170000
DTSTAMP:20260808T200946
CREATED:20250128T132508Z
LAST-MODIFIED:20250128T132508Z
UID:7354-1747746000-1747760400@blog.rwth-aachen.de
SUMMARY:[:en]NHR4CES - CFD Training Series: Introduction to Turbulence Modeling and Numerical Implementation[:]
DESCRIPTION:Name: Introduction to Turbulence Modeling and Numerical Implementation \nDate: 20.05.2025\, 1.00 pm – 5.00 pm \nFormat: online \nMore Information & Register \n  \n\n  \nDescription\n\n\nShort abstract:\n\nIn this course\, the introduction to the structural properties of various turbulence modeling concepts (RANS\, LES\, and Hybrid RANS/LES) including associated equations will be given. In addition to the presentation\, the corresponding computational setup including pre-processing\, simulation implementation\, and post-processing for some illustrative flow configurations will be provided based on the open-source CFD software OpenFOAM.\n\nInformation about SDL Fluidse
URL:https://blog.rwth-aachen.de/itc-events/en/event/nhr4ces-cfd-training-series-introduction-to-turbulence-modeling-and-numerical-implementation-2/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Events,PPCES,Wiederkehrend
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