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IT Center Events

NHR4CES Teamevent

IT Center Kopernikusstraße 6, Aachen, NRW, Deutschland

Name: NHR4CES Teamevent Veranstaltungsart: Internes, projektbezogenes Teamevent Datum: 08.09.2021 Uhrzeit: 08:00 - 13:00 Uhr Ort: IT Center RWTH Aachen Zielgruppe: Geladene Gäste   Beschreibung In diesem Jahr wurde die RWTH Aachen zusammen mit der TU Darmstadt in den Verbund für Nationales Hochleistungsrechnen (NHR-Verbund) aufgenommen. Die RWTH Aachen und die TU Darmstadt schaffen zusammen mit den […]

NHR4CES Community Workshop 2023

Online , Deutschland

Title: NHR4CES Community Workshop 2023 – Machine Learning in Computational Fluid Dynamics Event type: Workshop Date & Time: February 28, 2023, 1.30pm - 5.30pm and March 1, 2023, 9.00am - 1.30pm Format: Online Contact: office@nhr.tu-darmstadt.de Contact persons: Jonas Seng, Dr. Martin Smuda and Ludovico Nista Registration *More information*    Desciption   Big data and Machine Learning (ML) […]

NHR4CES: CFD Training Series: Efficient HPC implementation for Lagrangian particle tracking

Online , Deutschland

Name: CFD Training Series: Efficient HPC implementation for Lagrangian particle tracking Date: October 26, 2023  Time: 1.00 pm - 5.00 pm Format: hybrid More Information     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 […]

NHR4CES: Parallelization in OpenFOAM for HPC Deployment

Online , Deutschland

Name: Parallelization in OpenFOAM for HPC Deployment Date: November 06, 2023 & November 16, 2023 Time: 10am - 4pm Format: Online Flipped Classroom focusing on hands-on training More Information     Description Short abstract: OpenFOAM is an open source, mature and established C++ library for computational continuum mechanics (CCM) including Computational Fluid Dynamics (CFD). For […]

NHR4CES: Introduction to Machine Learning and Deep Learning

Online , Deutschland

Name: Introduction to Machine Learning and Deep Learning Date: November 09, 2023 & November 10, 2023 Time: 9 a.m to 1 p.m. Format: Online More Information     Description Short abstract: Not only in economics Machine- and Deep-Learning (ML/DL) are inherently used to solve highly complex problems in a data-driven way, but also the scientific […]

NHR4CES: CFD Training Series: Introduction to Finite Element Methods for Flow Problems

Online , Deutschland

Name: CFD Training Series: Introduction to Finite Element Methods for Flow Problems Date: November 09, 2023  Time: 1.00 pm - 5.00 pm Format: Online More Information     Description Short abstract: In this course, we cover various techniques to solve fluid flow problems using the finite element method. The course consists of a combination of […]

NHR4CES: Machine Learning in Combustion

Online , Deutschland

Name: Machine Learning in Combustion Date: November 09 & 10, 2023 Time: 2 pm – 6 pm Format: Online More Information     Description Short abstract: Big data and Machine Learning (ML) are driving comprehensive economic and social transformations and are rapidly becoming a core technology for scientific computing, with numerous opportunities to advance different research […]

NHR4CES: CFD Training Series: Introduction to Discontinuous Galerkin Methods for Flow Problems

Online , Deutschland

Name: CFD Training Series: Introduction to Discontinuous Galerkin Methods for Flow Problems Date: November 16, 2023  Time: 1.00 pm - 5.00 pm Format: Online More Information     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 […]

NHR4CES: Data-Driven Healthcare: Leveraging Visualization and Data Management for Digital Patient Studies

Online , Deutschland

Name: Data-Driven Healthcare: Leveraging Visualization and Data Management for Digital Patient Studies Date: November 21, 2023 & November 22, 2023  Time: 1.00 pm - 5.00 pm Format: Online More Information     Description Short abstract: In today’s rapidly advancing medical landscape, data has become an invaluable asset, empowering healthcare professionals and researchers to make informed […]