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ORCIDHermann Nirschl
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- affiliation: KIT, Karlsruhe, Germany
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2020 – today
- 2024
[j16]Frank Rhein
, Leonard Hibbe, Hermann Nirschl:
Hybrid modeling of hetero-agglomeration processes: a framework for model selection and arrangement. Eng. Comput. 40(1): 583-604 (2024)- [j15]Eric Schmid, Louis Kontschak, Hermann Nirschl, Gisela Guthausen:
NMR in Battery Anode Slurries with a V-Shaped Sensor. Sensors 24(11): 3353 (2024) - [j14]Eric Schmid, Tim Oliver Pertzel, Hermann Nirschl, Gisela Guthausen:
Characterization of Flow with a V-Shaped NMR Sensor. Sensors 24(19): 6163 (2024) - 2023
- [j13]Eric Schmid, Simon Rondeau, Thomas Rudszuck, Hermann Nirschl, Gisela Guthausen:
Inline NMR via a Dedicated V-Shaped Sensor. Sensors 23(5): 2388 (2023) - 2021
- [j12]Robin Trunk, Timo Weckerle, Nicolas Hafen, Gudrun Thäter, Hermann Nirschl, Mathias J. Krause:
Revisiting the Homogenized Lattice Boltzmann Method with Applications on Particulate Flows. Comput. 9(2): 11 (2021) - [j11]Robin Trunk, Colin Bretl, Gudrun Thäter, Hermann Nirschl, Márcio Dorn, Mathias J. Krause:
A Study on Shape-Dependent Settling of Single Particles with Equal Volume Using Surface Resolved Simulations. Comput. 9(4): 40 (2021) - 2020
- [j10]Marc Haussmann, Nicolas Hafen, Florian Raichle, Robin Trunk, Hermann Nirschl, Mathias J. Krause:
Galilean invariance study on different lattice Boltzmann fluid-solid interface approaches for vortex-induced vibrations. Comput. Math. Appl. 80(5): 671-691 (2020) - [j9]Marc Haussmann, Florian Ries, Jonathan B. Jeppener-Haltenhoff, Yongxiang Li, Marius Schmidt, Cooper Welch, Lars Illmann, Benjamin Böhm, Hermann Nirschl, Mathias J. Krause, Amsini Sadiki:
Evaluation of a Near-Wall-Modeled Large Eddy Lattice Boltzmann Method for the Analysis of Complex Flows Relevant to IC Engines. Comput. 8(2): 43 (2020)
2010 – 2019
- 2019
- [j8]Jesse Ross-Jones, Maximilian Gaedtke, Sebastian Sonnick, Matthias Rädle, Hermann Nirschl, Mathias J. Krause:
Conjugate heat transfer through nano scale porous media to optimize vacuum insulation panels with lattice Boltzmann methods. Comput. Math. Appl. 77(1): 209-221 (2019) - [j7]Marc Haussmann, Alejandro Claro Barreto, Gislain Lipeme Kouyi, Nicolas Rivière, Hermann Nirschl, Mathias J. Krause:
Large-eddy simulation coupled with wall models for turbulent channel flows at high Reynolds numbers with a lattice Boltzmann method - Application to Coriolis mass flowmeter. Comput. Math. Appl. 78(10): 3285-3302 (2019) - 2018
- [j6]Maximilian Gaedtke, Simon Wachter, Matthias Rädle, Hermann Nirschl, Mathias J. Krause:
Application of a lattice Boltzmann method combined with a Smagorinsky turbulence model to spatially resolved heat flux inside a refrigerated vehicle. Comput. Math. Appl. 76(10): 2315-2329 (2018) - [j5]Marie-Luise Maier, Stefanie Milles, Sebastian Schuhmann, Gisela Guthausen, Hermann Nirschl, Mathias J. Krause:
Fluid flow simulations verified by measurements to investigate adsorption processes in a static mixer. Comput. Math. Appl. 76(11): 2744-2757 (2018) - 2016
- [j4]Fabian Bülow, Philipp Hamberger, Hermann Nirschl, Willy Dörfler:
A scalable parallel Stokesian Dynamics method for the simulation of colloidal suspensions. Comput. Phys. Commun. 204: 107-120 (2016) - [j3]Albert Mink, Gudrun Thäter, Hermann Nirschl, Mathias J. Krause:
A 3D Lattice Boltzmann method for light simulation in participating media. J. Comput. Sci. 17: 431-437 (2016) - [j2]Robin Trunk, Thomas Henn, Willy Dörfler, Hermann Nirschl, Mathias J. Krause:
Inertial dilute particulate fluid flow simulations with an Euler-Euler lattice Boltzmann method. J. Comput. Sci. 17: 438-445 (2016) - 2013
- [j1]Johannes Lindner, Katharina Menzel, Hermann Nirschl:
Simulation of magnetic suspensions for HGMS using CFD, FEM and DEM modeling. Comput. Chem. Eng. 54: 111-121 (2013)
Coauthor Index
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