Name: CFD Training Series: Introduction to Turbulence Modeling and Numerical Implementation Date: November 02, 2023 Time: 1.00 pm - 5.00 pm Format: online More Information Description Short abstract: In 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. […]
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 […]
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 […]
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 […]
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 […]
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 […]
Name: CFD Training Series: Introduction to Kernel-based approximation methods with applications to fluid dynamics Date: November 23, 2023 Time: 1.00 pm - 5.00 pm Format: hybrid More Information Description Short abstract: When data is provided in an unstructured format or is high-dimensional, classical interpolation or approximation schemes as Finite-Element Methods (FEM) struggle to […]
Machine Learning (ML) methods are being used frequently in research these days. However, often non-experts in ML are faced with the problem of designing and building highly complex models and ML-environments to utilize useful features that ML brings. A high invest of time is needed to acquire the knowledge required to develop ML-models and the […]