Scientific Computing Lab

The SC Lab brings together key competencies in scientific computing relevant to the mathematical modeling, simulation, and optimization of cross-sector energy systems. The SC Lab develops methods and software solutions in the areas of co- and real-time simulation of multi-energy systems, improved forecasting methods for renewable energies, efficient optimization algorithms for complex energy grids, and multi-scale modeling and simulation of power-to-X technologies. Furthermore, the SC Lab provides advisory and operational support to the EIZ facilities in all aspects of mathematical modeling, data analysis, high-performance computing, and the structured documentation and archiving of scientific data. The goal is the provision of robust, scalable and practical computing tools for energy and systems research.

Background and objectives

The European languages ​​are members of the same family. Lor separately exists and is a myth. Por scientie, musica, sport etc, litot Europe usa li sam vocabulary. Li lingues differe solmen in li grammatica, li pronunciation e li plu common vocabules. Omnicos directe al desirabilite de a new lingua franca:
On refusa continuar payar custosi traductores. At solmen va esser necessary far uniform grammatica, pronunciation e plus sommun paroles. Ma quande lingues coalesce, the grammatica del resultant lingue es plu simple e regulari quam ti del coalescent lingues. The new lingua franca is more simple and regular than it exists in European languages. It is simply as Occidental in fact, it is Occidental. A un Angleso it va semblar a simplificat Angles, quam a skeptic Cambridge amico dit me que Occidental es.

Profile

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Currently no publications could be found.
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Event information for science

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Publications

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Authors: Tsai, Pei‐Yun, Schmidt, Heiko, Klein, Marten
Publication type: Scientific journal article reviewed
Year of publication: 2025
Publisher: Weinheim : Wiley
Volume/Year: 25
Issue/Volume: 1
ISSN: 1617-7061
Free keywords: Turbulent pipe flow; Coaxial heat exchanger; Low Prandtl number; Boundary layer theory; Mixing-length theory
Source: Proceedings in Applied Mathematics and Mechanics, pp. 1 – 7
Authors: Marinković, Pavle, Medina, Juan A., Schöps, Mark Simon, Klein, Marten, Schmidt, Heiko
Publication type: Conference publication presented
Year of publication: 2025
Publisher: Wiley
Free keywords: computational fluid dynamics (CFD); solver development; Software maintainability; Software dependability; Large-eddy simulation (LES); Stochastic subgrid scale modeling
Source: Proceedings in Applied Mathematics and Mechanics
Authors: Pavle Marinković, Juan A. Medina, Mark Simon Schöps, Marten Klein, Heiko Schmidt
Publication type: Conference publication presented
Year of publication: 2025
Publisher: Wiley
Volume/Year: 25
Issue/Volume: 1
ISSN: 1617-7061
Free keywords: computational fluid dynamics (CFD); Large-eddy simulation (LES); Software dependability; Software maintainability; solver development; Stochastic subgrid scale modeling
Source: Proceedings in Applied Mathematics and Mechanics
Authors: Pei‐Yun Tsai, Heiko Schmidt, Marten Klein,
Publication type: Scientific journal article
Year of publication: 2025
Publisher: Wiley Weinheim
Volume/Year: 25
Issue/Volume: 1
ISSN: 1617-7061
Free keywords: Boundary layer theory; Coaxial heat exchanger; Low Prandtl number; Mixing-length theory; Turbulent pipe flow
Authors: Delle Site, Luigi, Hartmann, Carsten
Publication type: Scientific journal article reviewed
Year of publication: 2024
Publisher: Informa UK Limited
ISSN: 0026-8976
Source: Molecular Physics

Investigation of turbulent mixing of scalars with arbitrary Schmidt numbers using the stochastic Hierarchical Parcel Swapping Model

Authors: Lignell, David O., Behrang, Masoomeh, Kerstein, Alan R., Wheeler, Isaac, Starick, Tommy, Schmidt, Heiko
Publication type: Conference publication not reviewed
Year of publication: 2024
Publisher: American Physical Society
Free keywords: turbulent mixing; variable Schmidt number; stochastic modeling; hierarchical parcel swapping
Source: 77th Annual Meeting of the Division of Fluid Dynamics, November 24–26, 2024; Salt Lake City, Utah
URL: https://meetings.aps.org/Meeting/DFD24/Session/X39.11