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Mathias J Krause
Mathias J Krause
KIT, OpenLB
Verified email at kit.edu - Homepage
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Cited by
Cited by
Year
OpenLB—Open source lattice Boltzmann code
MJ Krause, A Kummerländer, SJ Avis, H Kusumaatmaja, D Dapelo, ...
Computers & Mathematics with Applications 81, 258-288, 2021
1252021
Towards a hybrid parallelization of lattice Boltzmann methods
V Heuveline, MJ Krause, J Latt
Computers & Mathematics with Applications 58 (5), 1071-1080, 2009
742009
Parallel dilute particulate flow simulations in the human nasal cavity
T Henn, G Thäter, W Dörfler, H Nirschl, MJ Krause
Computers & Fluids 124, 197-207, 2016
552016
Total enthalpy-based lattice Boltzmann simulations of melting in paraffin/metal foam composite phase change materials
M Gaedtke, S Abishek, R Mead-Hunter, AJC King, BJ Mullins, H Nirschl, ...
International Journal of Heat and Mass Transfer 155, 119870, 2020
532020
Adjoint-based fluid flow control and optimisation with lattice Boltzmann methods
MJ Krause, G Thäter, V Heuveline
Computers & Mathematics with Applications 65 (6), 945-960, 2013
522013
Optimized hybrid parallel lattice Boltzmann fluid flow simulations on complex geometries
J Fietz, MJ Krause, C Schulz, P Sanders, V Heuveline
Euro-Par 2012 Parallel Processing: 18th International Conference, Euro-Par …, 2012
512012
Particle flow simulations with homogenised lattice Boltzmann methods
MJ Krause, F Klemens, T Henn, R Trunk, H Nirschl
Particuology 34, 1-13, 2017
492017
Fluid flow simulation and optimisation with lattice Boltzmann methods on high performance computers-application to the human respiratory system
MJ Krause
492010
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
M Haussmann, AC Barreto, GL Kouyi, N Rivière, H Nirschl, MJ Krause
Computers & Mathematics with Applications 78 (10), 3285-3302, 2019
462019
A 3D lattice Boltzmann method for light simulation in participating media
A Mink, G Thäter, H Nirschl, MJ Krause
Journal of Computational Science 17, 431-437, 2016
462016
On the stability and accuracy of the BGK, MRT and RLB Boltzmann schemes for the simulation of turbulent flows
P Nathen, D Gaudlitz, MJ Krause, NA Adams
Commun Comput Phys 23 (3), 1-31, 2018
442018
MRI‐based computational hemodynamics in patients with aortic coarctation using the lattice Boltzmann methods: clinical validation study
H Mirzaee, T Henn, MJ Krause, L Goubergrits, C Schumann, ...
Journal of Magnetic Resonance Imaging 45 (1), 139-146, 2017
412017
On the potential of augmented reality for mathematics teaching with the application cleARmaths
S Schutera, M Schnierle, M Wu, T Pertzel, J Seybold, P Bauer, ...
Education Sciences 11 (8), 368, 2021
402021
Conjugate heat transfer through nano scale porous media to optimize vacuum insulation panels with lattice Boltzmann methods
J Ross-Jones, M Gaedtke, S Sonnick, M Rädle, H Nirschl, MJ Krause
Computers & Mathematics with Applications 77 (1), 209-221, 2019
382019
Inertial dilute particulate fluid flow simulations with an Euler–Euler lattice Boltzmann method
R Trunk, T Henn, W Dörfler, H Nirschl, MJ Krause
Journal of Computational Science 17, 438-445, 2016
372016
Towards the simulation of arbitrarily shaped 3D particles using a homogenised lattice Boltzmann method
R Trunk, J Marquardt, G Thäter, H Nirschl, MJ Krause
Computers & Fluids 172, 621-631, 2018
362018
Evaluation of a near-wall-modeled large eddy lattice Boltzmann method for the analysis of complex flows relevant to IC engines
M Haussmann, F Ries, JB Jeppener-Haltenhoff, Y Li, M Schmidt, C Welch, ...
Computation 8 (2), 43, 2020
352020
Direct numerical simulation of decaying homogeneous isotropic turbulence—numerical experiments on stability, consistency and accuracy of distinct lattice Boltzmann methods
M Haussmann, S Simonis, H Nirschl, MJ Krause
International Journal of Modern Physics C 30 (09), 1950074, 2019
352019
Application of a lattice Boltzmann method combined with a Smagorinsky turbulence model to spatially resolved heat flux inside a refrigerated vehicle
M Gaedtke, S Wachter, M Raedle, H Nirschl, MJ Krause
Computers & Mathematics with Applications 76 (10), 2315-2329, 2018
342018
Parameter estimation of ion current formulations requires hybrid optimization approach to be both accurate and reliable
A Loewe, M Wilhelms, J Schmid, MJ Krause, F Fischer, D Thomas, ...
Frontiers in bioengineering and biotechnology 3, 209, 2016
282016
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