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ORCIDMathias J. Krause
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2020 – today
- 2024
[j31]Frantisek Prinz
, Jan Pokorný, Jakub Elcner, Frantisek Lízal, Ondrej Misík, Milan Malý, Miloslav Belka, Nicolas Hafen, Adrian Kummerländer, Mathias J. Krause, Jan Jedelský, Miroslav Jícha:
Comprehensive experimental and numerical validation of Lattice Boltzmann fluid flow and particle simulations in a child respiratory tract. Comput. Biol. Medicine 170: 107994 (2024)- [j30]Shota Ito, Julius Jeßberger, Stephan Simonis, Fedor Bukreev, Adrian Kummerländer, Alexander Zimmermann, Gudrun Thäter, Georg R. Pesch, Jorg Thöming, Mathias J. Krause:
Identification of reaction rate parameters from uncertain spatially distributed concentration data using gradient-based PDE constrained optimization. Comput. Math. Appl. 167: 249-263 (2024) - [j29]Jan E. Marquardt, Nicolas Hafen, Mathias J. Krause:
A novel model for direct numerical simulation of suspension dynamics with arbitrarily shaped convex particles. Comput. Phys. Commun. 304: 109321 (2024) - [j28]Davide Dapelo, Adrian Kummerländer, Mathias J. Krause, John Bridgeman:
Lattice-Boltzmann LES modelling of a full-scale, biogas-mixed anaerobic digester. Eng. Comput. 40(2): 715-739 (2024) - [j27]Mingliang Zhong, Tianbai Xiao, Mathias J. Krause, Martin Frank, Stephan Simonis:
A stochastic Galerkin lattice Boltzmann method for incompressible fluid flows with uncertainties. J. Comput. Phys. 517: 113344 (2024) - [j26]Jan E. Marquardt, Nicolas Hafen, Mathias J. Krause:
A novel particle decomposition scheme to improve parallel performance of fully resolved particulate flow simulations. J. Comput. Sci. 78: 102263 (2024) - 2023
- [j25]Stephan Simonis, Martin Frank, Mathias J. Krause:
Constructing relaxation systems for lattice Boltzmann methods. Appl. Math. Lett. 137: 108484 (2023) - [j24]Adrian Kummerländer, Márcio Dorn, Martin Frank, Mathias J. Krause:
Implicit propagation of directly addressed grids in lattice Boltzmann methods. Concurr. Comput. Pract. Exp. 35(8) (2023) - [j23]Fedor Bukreev, Stephan Simonis, Adrian Kummerländer, Julius Jeßberger, Mathias J. Krause:
Consistent lattice Boltzmann methods for the volume averaged Navier-Stokes equations. J. Comput. Phys. 490: 112301 (2023) - [i7]Adrian Kummerländer, Samuel J. Avis, Halim Kusumaatmaja, Fedor Bukreev, Michael Crocoll, Davide Dapelo, Simon Großmann, Nicolas Hafen, Shota Ito, Julius Jeßberger, Eliane Kummer, Jan E. Marquardt, Johanna Mödl, Tim Pertzel, Frantisek Prinz, Florian Raichle, Martin Sadric, Maximilian Schecher, Dennis Teutscher, Stephan Simonis, Mathias J. Krause:
OpenLB User Guide: Associated with Release 1.6 of the Code. CoRR abs/2307.11752 (2023) - [i6]Stephan Simonis, Nicolas Hafen, Julius Jeßberger, Davide Dapelo, Gudrun Thäter, Mathias J. Krause:
Homogenized lattice Boltzmann methods for fluid flow through porous media - part I: kinetic model derivation. CoRR abs/2310.14746 (2023) - 2022
- [j22]Stephan Simonis, Daniel Oberle, Maximilian Gaedtke, Patrick Jenny, Mathias J. Krause:
Temporal large eddy simulation with lattice Boltzmann methods. J. Comput. Phys. 454: 110991 (2022) - [j21]Dennis Teutscher, Timo Weckerle, Ömer F. Öz, Mathias J. Krause:
Interactive Scientific Visualization of Fluid Flow Simulation Data Using AR Technology-Open-Source Library OpenVisFlow. Multimodal Technol. Interact. 6(9): 81 (2022) - [i5]Stephan Simonis, Mathias J. Krause:
Limit Consistency of Lattice Boltzmann Equations. CoRR abs/2208.06867 (2022) - [i4]Fedor Bukreev, Stephan Simonis, Adrian Kummerländer, Julius Jeßberger, Mathias J. Krause:
Consistent lattice Boltzmann methods for the volume averaged Navier-Stokes equations. CoRR abs/2208.09267 (2022) - [i3]Stephan Simonis, Martin Frank, Mathias J. Krause:
Constructing relaxation systems for lattice Boltzmann methods. CoRR abs/2208.14976 (2022) - [i2]Stephan Simonis, Johannes Nguyen, Samuel J. Avis, Willy Dörfler, Mathias J. Krause:
Binary mixture flow with free energy lattice Boltzmann methods. CoRR abs/2212.01617 (2022) - 2021
- [j20]Mathias J. Krause, Adrian Kummerländer, Samuel J. Avis, Halim Kusumaatmaja, Davide Dapelo, Fabian Klemens, Maximilian Gaedtke, Nicolas Hafen, Albert Mink, Robin Trunk, Jan E. Marquardt, Marie-Luise Maier, Marc Haussmann, Stephan Simonis:
OpenLB - Open source lattice Boltzmann code. Comput. Math. Appl. 81: 258-288 (2021) - [j19]Jan E. Marquardt, Carsten-Rene Arlt, Robin Trunk, Matthias Franzreb, Mathias J. Krause:
Numerical and experimental examination of the retention of magnetic nanoparticles in magnetic chromatography. Comput. Math. Appl. 89: 34-43 (2021) - [j18]Asher Zarth, Fabian Klemens, Gudrun Thäter, Mathias J. Krause:
Towards shape optimisation of fluid flows using lattice Boltzmann methods and automatic differentiation. Comput. Math. Appl. 90: 46-54 (2021) - [j17]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) - [j16]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) - [j15]Bruno Iochins Grisci, Mathias J. Krause, Márcio Dorn:
Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data. Inf. Sci. 559: 111-129 (2021) - [j14]Davide Dapelo, Stephan Simonis, Mathias J. Krause, John Bridgeman:
Lattice-Boltzmann coupled models for advection-diffusion flow on a wide range of Péclet numbers. J. Comput. Sci. 51: 101363 (2021) - [i1]Moritz Lehmann, Mathias J. Krause, Giorgio Amati, Marcello Sega, Jens Harting, Stephan Gekle:
On the accuracy and performance of the lattice Boltzmann method with 64-bit, 32-bit and novel 16-bit number formats. CoRR abs/2112.08926 (2021) - 2020
- [j13]Fabian Klemens, Benjamin Förster, Márcio Dorn, Gudrun Thäter, Mathias J. Krause:
Solving fluid flow domain identification problems with adjoint lattice Boltzmann methods. Comput. Math. Appl. 79(1): 17-33 (2020) - [j12]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) - [j11]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) - [c5]Pedro Henrique Narloch, Mathias J. Krause, Márcio Dorn:
Multi-Objective Differential Evolution Algorithms for the Protein Structure Prediction Problem. CEC 2020: 1-8
2010 – 2019
- 2019
- [j10]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) - [j9]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
- [j8]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) - [j7]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) - [j6]Leonardo de Lima Correa, Bruno Borguesan, Mathias J. Krause, Márcio Dorn:
Three-dimensional protein structure prediction based on memetic algorithms. Comput. Oper. Res. 91: 160-177 (2018) - [j5]Rodrigo Ligabue-Braun, Bruno Borguesan, Hugo Verli, Mathias J. Krause, Márcio Dorn:
Everyone Is a Protagonist: Residue Conformational Preferences in High-Resolution Protein Structures. J. Comput. Biol. 25(4): 451-465 (2018) - 2016
- [j4]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) - [j3]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) - [c4]Ulrich J. Römer, Cornelius Kuhs, Mathias J. Krause, Alexander Fidlin:
Simultaneous optimization of gait and design parameters for bipedal robots. ICRA 2016: 1374-1381 - 2013
- [j2]Mathias J. Krause, Gudrun Thäter, Vincent Heuveline:
Adjoint-based fluid flow control and optimisation with lattice Boltzmann methods. Comput. Math. Appl. 65(6): 945-960 (2013) - 2012
- [c3]Jonas Fietz, Mathias J. Krause, Christian Schulz, Peter Sanders, Vincent Heuveline:
Optimized Hybrid Parallel Lattice Boltzmann Fluid Flow Simulations on Complex Geometries. Euro-Par 2012: 818-829 - [c2]Thomas Henn, Vincent Heuveline, Mathias J. Krause, Sebastian Ritterbusch:
Aortic Coarctation Simulation Based on the Lattice Boltzmann Method: Benchmark Results. STACOM 2012: 34-43 - 2010
- [c1]Mathias J. Krause, Thomas Gengenbach, Vincent Heuveline:
Hybrid Parallel Simulations of Fluid Flows in Complex Geometries: Application to the Human Lungs. Euro-Par Workshops 2010: 209-216
2000 – 2009
- 2009
- [j1]Vincent Heuveline, Mathias J. Krause, Jonas Latt:
Towards a hybrid parallelization of lattice Boltzmann methods. Comput. Math. Appl. 58(5): 1071-1080 (2009)
Coauthor Index
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