Publikationsliste

Transport and deposition of inhaled fibers in a realistic female airway model: A combined experimental and numerical study
Prinz, F.; Kánská, J.; Elcner, J.; Hájek, O.; Kummerländer, A.; Krause, M. J.; Jícha, M.; Lízal, F.
2025. Computers in Biology and Medicine, 194, 110473. doi:10.1016/j.compbiomed.2025.110473  

A digital urban twin enabling interactive pollution predictions and enhanced planning
Teutscher, D.; Bukreev, F.; Kummerländer, A.; Simonis, S.; Bächler, P.; Rezaee, A.; Hermansdorfer, M.; Krause, M. J.
2025. Building and Environment, 281, 113093. doi:10.1016/j.buildenv.2025.113093  

Limit consistency of lattice Boltzmann equations
Simonis, S.; Krause, M. J.
2025. ESAIM: Mathematical Modelling and Numerical Analysis, 59 (3), 1271–1299. doi:10.1051/m2an/2025026  

Benchmark case for the inverse determination of adsorption parameters using lattice Boltzmann methods and gradient-based optimization
Ito, S.; Großmann, S.; Bukreev, F.; Jeßberger, J.; Krause, M. J.
2025. Chemical Engineering Science, 309, 121467. doi:10.1016/j.ces.2025.121467  

Potential for damage to fruits during transport through cross-section constrictions
Marquardt, J. E.; Eysel, B.; Sadric, M.; Rauh, C.; Krause, M. J.
2025. Journal of Food Engineering, 392, 112473. doi:10.1016/j.jfoodeng.2025.112473  

Benchmark Simulation of Laminar Reactive Micromixing Using Lattice Boltzmann Methods
Bukreev, F.; Kummerländer, A.; Jeßberger, J.; Teutscher, D.; Simonis, S.; Bothe, D.; Krause, M. J.
2025. AIAA Journal, 63 (4), 1295–1304. doi:10.2514/1.J064234 

Modeling and Simulation of Suspension Dynamics Capturing Shapes and Contacts – With Applications. PhD dissertation
Marquardt, J. E.
2025, March 26. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000180411  

Homogenized lattice Boltzmann methods for fluid flow through porous media – Part I: Kinetic model derivation
Simonis, S.; Hafen, N.; Jeßberger, J.; Dapelo, D.; Thäter, G.; Krause, M. J.
2025. ESAIM: Mathematical Modelling and Numerical Analysis, 59 (2), 789–813. doi:10.1051/m2an/2025005  

Predicting Filter Medium Performances in Chamber Filter Presses with Digital Twins Using Neural Network Technologies
Teutscher, D.; Weber-Carstanjen, T.; Simonis, S.; Krause, M. J.
2025. Applied Sciences (Switzerland), 15 (9), 4933. doi:10.3390/app15094933  

Calculation of Single and Multiple Low Reynolds Number Free Jets with a Lattice-Boltzmann Method
Hettel, M.; Bukreev, F.; Daymo, E.; Kummerländer, A.; Krause, M. J.; Deutschmann, O.
2025. AIAA Journal, 1–14. doi:10.2514/1.J064280 

A stochastic Galerkin lattice Boltzmann method for incompressible fluid flows with uncertainties
Zhong, M.; Xiao, T.; Krause, M. J.; Frank, M.; Simonis, S.
2024. Journal of Computational Physics, 517, 113344. doi:10.1016/j.jcp.2024.113344  

Molecular Basis of MC1R Activation: Mutation‐Induced Alterations in Structural Dynamics
Cavatão, F. G.; Pinto, É. S. M.; Krause, M. J.; Alho, C. S.; Dorn, M.
2024. Proteins: Structure, Function, and Bioinformatics, 92 (11), 1297–1307. doi:10.1002/prot.26722 

A novel model for direct numerical simulation of suspension dynamics with arbitrarily shaped convex particles
Marquardt, J. E.; Hafen, N.; Krause, M. J.
2024. Computer Physics Communications, 304, Art.-Nr.: 109321. doi:10.1016/j.cpc.2024.109321  

Identification of reaction rate parameters from uncertain spatially distributed concentration data using gradient-based PDE constrained optimization
Ito, S.; Jeßberger, J.; Simonis, S.; Bukreev, F.; Kummerländer, A.; Zimmermann, A.; Thäter, G.; Pesch, G. R.; Thöming, J.; Krause, M. J.
2024. Computers and Mathematics with Applications, 167, 249 – 263. doi:10.1016/j.camwa.2024.05.026  

A novel particle decomposition scheme to improve parallel performance of fully resolved particulate flow simulations
Marquardt, J. E.; Hafen, N.; Krause, M. J.
2024. Journal of Computational Science, 78, Art.-Nr.: 102263. doi:10.1016/j.jocs.2024.102263  

Lattice-Boltzmann LES modelling of a full-scale, biogas-mixed anaerobic digester
Dapelo, D.; Kummerländer, A.; Krause, M. J.; Bridgeman, J.
2024. Engineering with Computers, 40 (2), 715–739. doi:10.1007/s00366-023-01854-3  

Comprehensive experimental and numerical validation of Lattice Boltzmann fluid flow and particle simulations in a child respiratory tract
Prinz, F.; Pokorný, J.; Elcner, J.; Lízal, F.; Mišík, O.; Malý, M.; Bělka, M.; Hafen, N.; Kummerländer, A.; Krause, M. J.; Jedelský, J.; Jícha, M.
2024. Computers in Biology and Medicine, 170, Art.-Nr.: 107994. doi:10.1016/j.compbiomed.2024.107994 

Fundamental Investigation of Particle-Layer Rearrangement Events in Ceramic Wall-Flow Filters – Resolved Particle Simulations with Lattice Boltzmann Methods. PhD dissertation
Hafen, N.
2024, February 27. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000168524  

A Review of the Homogenized Lattice Boltzmann Method for Particulate Flow Simulations: From Fundamentals to Applications
Marquardt, J. E.; Krause, M. J.
2024. Powders, 3 (4), 500–530. doi:10.3390/powders3040027 

A novel model for direct numerical simulation of suspension dynamics with arbitrarily shaped convex particles
Marquardt, J. E.; Hafen, N.; Krause, M. J.
2024. doi:10.48550/arXiv.2401.10878 

Enhancing Flow Batteries: Topology Optimization of Electrode Porosity and Shape Optimization of Cell Design
Wolf, A.; Noack, J.; Krause, M. J.; Nirschl, H.
2024. Energy Technology, 12 (7), Art.-Nr.: 2400244. doi:10.1002/ente.202400244  

Just-in-Time Fluid Flow Simulation on Mobile Devices Using OpenVisFlow and OpenLB
Teutscher, D.; Kummerländer, A.; Bukreev, F.; Dorn, M.; Krause, M. J.
2024. Applied Sciences, 14 (5), 1784. doi:10.3390/app14051784  

Assessment of Kaistella jeonii esterase conformational dynamics in response to poly(ethylene terephthalate) binding
Pinto, E. S. M.; Mangini, A. T.; Novo, L. C. C.; Cavatao, F. G.; Krause, M. J.; Dorn, M.
2024. Current Research in Structural Biology, 7, Art.-Nr.: 100130. doi:10.1016/j.crstbi.2024.100130  

Binary fluid flow simulations with free energy lattice Boltzmann methods
Simonis, S.; Nguyen, J.; Avis, S. J.; Dörfler, W.; Krause, M. J.
2024. Discrete and Continuous Dynamical Systems - S, 17 (11), 3278–3294. doi:10.3934/dcdss.2023069  

Consistent lattice Boltzmann methods for the volume averaged Navier–Stokes equations
Bukreev, F.; Simonis, S.; Kummerländer, A.; Jeßberger, J.; Krause, M. J.
2023. Journal of Computational Physics, 490, Art.-Nr.: 112301. doi:10.1016/j.jcp.2023.112301 

Lattice Boltzmann Methods for Partial Differential Equations. PhD dissertation
Simonis, S.
2023, September 13. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000161726  

Simulation of Dynamic Rearrangement Events in Wall-Flow Filters Applying Lattice Boltzmann Methods
Hafen, N.; Marquardt, J. E.; Dittler, A.; Krause, M. J.
2023. Fluids, 8 (7), Art.-Nr.: 213. doi:10.3390/fluids8070213  

The nucleotide excision repair proteins through the lens of molecular dynamics simulations
Pinto, É. S. M.; Krause, M. J.; Dorn, M.; Feltes, B. C.
2023. DNA Repair, 127, Art.-Nr.: 103510. doi:10.1016/j.dnarep.2023.103510 

Meta-analyses of host metagenomes from colorectal cancer patients reveal strong relationship between colorectal cancer-associated species
Riveros Escalona, M. A.; Poloni, J. de F.; Krause, M. J.; Dorn, M.
2023. Molecular Omics, 19 (5), 429–444. doi:10.1039/d3mo00021d 

Simulation of Temperature Driven Microflows Using a Lattice Boltzmann Method in Slip and Moderate Transition Regimes
Selmi, A.; Bhapkar, S.; Nagel, C.; Kummerländer, A.; Krause, M. J.
2023. 2023 24th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EuroSimE56861.2023.10100812 

Simulation of adsorption processes on moving particles based on an Euler-Euler description using a lattice Boltzmann discretization
Bukreev, F.; Raichle, F.; Nirschl, H.; Krause, M. J.
2023. Chemical Engineering Science, 270, Art._Nr.: 118485. doi:10.1016/j.ces.2023.118485 

Implicit propagation of directly addressed grids in lattice Boltzmann methods
Kummerländer, A.; Dorn, M.; Frank, M.; Krause, M. J.
2023. Concurrency and Computation: Practice and Experience, 35 (8), Art.-Nr.: e7509. doi:10.1002/cpe.7509  

Constructing relaxation systems for lattice Boltzmann methods
Simonis, S.; Frank, M.; Krause, M. J.
2023. Applied Mathematics Letters, 137, Art.-Nr.: 108484. doi:10.1016/j.aml.2022.108484 

Numerical investigation of detachment and transport of particulate structures in wall-flow filters using lattice Boltzmann methods
Hafen, N.; Thieringer, J. R. D.; Meyer, J.; Krause, M. J.; Dittler, A.
2023. Journal of Fluid Mechanics, 956, Artkel-Nr.: A30. doi:10.1017/jfm.2023.35  

Homogenized lattice Boltzmann methods for fluid flow through porous media – part I: kinetic model derivation
Simonis, S.; Hafen, N.; Jessberger, J.; Dapelo, D.; Thäter, G.; Krause, M. J.
2023. doi:10.48550/arXiv.2310.14746 

Simulation of Particulate Matter Structure Detachment from Surfaces of Wall-Flow Filters for Elevated Velocities Applying Lattice Boltzmann Methods
Hafen, N.; Marquardt, J. E.; Dittler, A.; Krause, M. J.
2023. Fluids, 8 (3), Art.-Nr.: 99. doi:10.3390/fluids8030099  

A discrete contact model for complex arbitrary-shaped convex geometries
Marquardt, J. E.; Römer, U. J.; Nirschl, H.; Krause, M. J.
2022. Particuology. doi:10.1016/j.partic.2022.12.005  

Accuracy and performance of the lattice Boltzmann method with 64-bit, 32-bit, and customized 16-bit number formats
Lehmann, M.; Krause, M. J.; Amati, G.; Sega, M.; Harting, J.; Gekle, S.
2022. Physical Review E, 106, Art.-Nr.: 015308. doi:10.1103/PhysRevE.106.015308  

Forschungsnahe Lehre unter Pandemiebedingungen
Simonis, S.; Krause, M. J.
2022. Mitteilungen der Deutschen Mathematiker-Vereinigung, 30 (1), 43. doi:10.1515/dmvm-2022-0015 

Simulation of particle-agglomerate transport in a particle filter using Lattice Boltzmann Methods
Hafen, N.; Dittler, A.; Krause, M. J.
2022. 22. Internationales Stuttgarter Symposium : Automobil- und Motorentechnik. Hrsg.: M. Bargende, 292–303, Springer Fachmedien Wiesbaden 

Simulation of particulate matter structure detachment from surfaces of wall-flow filters applying lattice Boltzmann methods
Hafen, N.; Dittler, A.; Krause, M. J.
2022. Computers & Fluids, 239, Art.Nr. 105381. doi:10.1016/j.compfluid.2022.105381 

Limit Consistency of Lattice Boltzmann Equations
Simonis, S.; Krause, M. J.
2022. Karlsruher Institut für Technologie (KIT) 

Consistent lattice Boltzmann methods for the volume averaged Navier-Stokes equations
Bukreev, F.; Simonis, S.; Kummerländer, A.; Jeßberger, J.; Krause, M. J.
2022 

Constructing relaxation systems for lattice Boltzmann methods
Simonis, S.; Frank, M.; Krause, M. J.
2022. doi:10.48550/arXiv.2208.14976  

Comprehensive Computational Model for Coupled Fluid Flow, Mass Transfer, and Light Supply in Tubular Photobioreactors Equipped with Glass Sponges
Mink, A.; Schediwy, K.; Posten, C.; Nirschl, H.; Simonis, S.; Krause, M. J.
2022. Energies, 15 (20), Art.-Nr.: 7671. doi:10.3390/en15207671  

Interactive Scientific Visualization of Fluid Flow Simulation Data Using AR Technology-Open-Source Library OpenVisFlow
Teutscher, D.; Weckerle, T.; Öz, Ö. F.; Krause, M. J.
2022. Multimodal Technologies and Interaction, 6 (9), Art.-Nr: 81. doi:10.3390/mti6090081  

Investigation of the Rearrangement of Reactive–Inert Particulate Structures in a Single Channel of a Wall-Flow Filter
Thieringer, J. R. D.; Hafen, N.; Meyer, J.; Krause, M. J.; Dittler, A.
2022. Separations, 9 (8), 195. doi:10.3390/separations9080195  

Optimization of a Micromixer with Automatic Differentiation
Jeßberger, J.; Marquardt, J. E.; Heim, L.; Mangold, J.; Bukreev, F.; Krause, M. J.
2022. Fluids, 7 (5), Art.-Nr.: 144. doi:10.3390/fluids7050144  

Applied Geometry Optimization of an Innovative 3D-Printed Wet-Scrubber Nozzle with a Lattice Boltzmann Method
Reinke, F.; Hafen, N.; Haussmann, M.; Novosel, M.; Krause, M. J.; Dittler, A.
2022. Chemie-Ingenieur-Technik, 94 (3), 348–355. doi:10.1002/cite.202100151  

PARROT: A Pilot Study on the Open Access Provision of Particle-Discrete Tomographic Datasets
Ditscherlein, R.; Furat, O.; Löwer, E.; Mehnert, R.; Trunk, R.; Leißner, T.; Krause, M. J.; Schmidt, V.; Peuker, U. A.
2022. Microscopy and microanalysis, 28 (2), 350–360. doi:10.1017/S143192762101391X  

Fluid flow control and simulation in process engineering: homogenised lattice Boltzmann methods. habilitation thesis
Krause, M. J.
2022. Karlsruher Institut für Technologie (KIT) 

Temporal large eddy simulation with lattice Boltzmann methods
Simonis, S.; Oberle, D.; Gaedtke, M.; Jenny, P.; Krause, M. J.
2022. Journal of Computational Physics, 454, Art.-Nr.: 110991. doi:10.1016/j.jcp.2022.110991 

Simulation der Ablösung und des Transports von reaktiv-inerten Partikelstrukturen in Wandstromfiltern mittels Lattice Boltzmann Methoden
Hafen, N.; Dittler, A.; Krause, M.
2021, February 19. Jahrestreffen der ProcessNet-Fachgruppen Gasreinigung und Partikelmesstechnik (2021), Online, February 18–19, 2021 

Revisiting the Homogenized Lattice Boltzmann Method with Applications on Particulate Flows
Trunk, R.; Weckerle, T.; Hafen, N.; Thäter, G.; Nirschl, H.; Krause, M. J.
2021. Computation, 9 (2), Article no: 11. doi:10.3390/COMPUTATION9020011  

Pore-scale conjugate heat transfer simulations using lattice Boltzmann methods for industrial applications
Jesse Ross-Jones, J.; Gaedtke, M.; Sonnick, S.; Meier, M.; Rädle, M.; Nirschl, H.; Krause, M. J.
2021. Applied thermal engineering, 182, Article no: 116073. doi:10.1016/j.applthermaleng.2020.116073 

Linear and brute force stability of orthogonal moment multiple-relaxation-time lattice Boltzmann methods applied to homogeneous isotropic turbulence
Simonis, S.; Haussmann, M.; Kronberg, L.; Dörfler, W.; Krause, M. J.
2021. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 379 (2208), Art.-Nr.: 20200405. doi:10.1098/rsta.2020.0405 

On the potential of augmented reality for mathematics teaching with the application cleARmaths
Schutera, S.; Schnierle, M.; Wu, M.; Pertzel, T.; Seybold, J.; Bauer, P.; Teutscher, D.; Raedle, M.; Heß-Mohr, N.; Röck, S.; Krause, M. J.
2021. Education Sciences, 11 (8), 368. doi:10.3390/educsci11080368  

Fluid–structure interaction simulation of a coriolis mass flowmeter using a lattice boltzmann method
Haussmann, M.; Reinshaus, P.; Simonis, S.; Nirschl, H.; Krause, M. J.
2021. Fluids, 6 (4), 167. doi:10.3390/FLUIDS6040167  

Coupling of multiscale lattice Boltzmann discrete-element method for reactive particle fluid flows
Maier, M.-L.; Patel, R. A.; Prasianakis, N. I.; Churakov, S. V.; Nirschl, H.; Krause, M. J.
2021. Physical Review E, 103 (3), Art.-Nr.: 033306. doi:10.1103/PhysRevE.103.033306 

A study on shape-dependent settling of single particles with equal volume using surface resolved simulations
Trunk, R.; Bretl, C.; Thäter, G.; Nirschl, H.; Dorn, M.; Krause, M. J.
2021. Computation, 9 (4), Art.-Nr.: 40. doi:10.3390/computation9040040  

Lattice-Boltzmann coupled models for advection–diffusion flow on a wide range of Péclet numbers
Dapelo, D.; Simonis, S.; Krause, M. J.; Bridgeman, J.
2021. Journal of Computational Science, 51, Art.-Nr.: 101363. doi:10.1016/j.jocs.2021.101363  

Towards shape optimisation of fluid flows using lattice Boltzmann methods and automatic differentiation
Zarth, A.; Klemens, F.; Thäter, G.; Krause, M. J.
2021. Computers and Mathematics with Applications, 90, 46–54. doi:10.1016/j.camwa.2021.02.016 

Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data
Grisci, B. I.; Krause, M. J.; Dorn, M.
2021. Information Sciences, 559, 111–129. doi:10.1016/j.ins.2021.01.052 

Numerical evaluation of thermal comfort using a large eddy lattice Boltzmann method
Siodlaczek, M.; Gaedtke, M.; Simonis, S.; Schweiker, M.; Homma, N.; Krause, M. J.
2021. Building and Environment, 192, Art.-Nr.: 107618. doi:10.1016/j.buildenv.2021.107618 

Microscale Discrete Element Method Simulation of the Carbon Black Aggregate Fracture Behavior in a Simple Shear Flow
Asylbekov, E.; Trunk, R.; Krause, M.; Nirschl, H.
2021. Energy technology, 9 (6), Art.-Nr.: 2000850. doi:10.1002/ente.202000850  

OpenLB—Open source lattice Boltzmann code
Krause, M. J.; Kummerländer, A.; Avis, S. J.; Kusumaatmaja, H.; Dapelo, D.; Klemens, F.; Gaedtke, M.; Hafen, N.; Mink, A.; Trunk, R.; Marquardt, J. E.; Maier, M.-L.; Haussmann, M.; Simonis, S.
2021. Computers and mathematics with applications, 81, 258–288. doi:10.1016/j.camwa.2020.04.033  

Simulation von Umlagerungsvorgängen reaktiv-inerter Partikelstrukturen in Wandstromfiltern
Hafen, N.; Dittler, A.; Krause, M. J.
2020, October 6. Digitalisierung in der Trenntechnik, Industrie-Workshop (2020), Online, October 6, 2020 

The application of Buckingham π theorem to Lattice-Boltzmann modelling of sewage sludge digestion
Dapelo, D.; Trunk, R.; Krause, M. J.; Cassidy, N.; Bridgeman, J.
2020. Computers & fluids, 209, Art. Nr.: 104632. doi:10.1016/j.compfluid.2020.104632  

Galilean invariance study on different lattice Boltzmann fluid–solid interface approaches for vortex-induced vibrations
Haussmann, M.; Hafen, N.; Raichle, F.; Trunk, R.; Nirschl, H.; Krause, M. J.
2020. Computers and mathematics with applications, 80 (5), 671–691. doi:10.1016/j.camwa.2020.04.022 

„Um bis zu 95% können Mund-Nasen-Masken das Corona-Ansteckungsrisiko reduzieren“ - Wissenschaftler am KIT haben die Ausbreitung in geschlossenen Räumen untersucht - Campus-Report am 11.08.2020
Fuchs, S.; Dittler, A.; Krause, M.
2020. doi:10.5445/IR/1000122509 

On relaxation systems and their relation to discrete velocity Boltzmann models for scalar advection–diffusion equations
Simonis, S.; Frank, M.; Krause, M. J.
2020. Philosophical transactions of the Royal Society of London / A, 378 (2175), Article: 20190400. doi:10.1098/rsta.2019.0400  

Total enthalpy-based lattice Boltzmann simulations of melting in paraffin/metal foam composite phase change materials
Gaedtke, M.; Abishek, S.; Mead-Hunter, R.; King, A. J. C.; Mullins, B. J.; Nirschl, H.; Krause, M. J.
2020. International journal of heat and mass transfer, 155, Art. Nr.: 119870. doi:10.1016/j.ijheatmasstransfer.2020.119870 

Passive room conditioning using phase change materials—Demonstration of a long-term real size experiment
Sonnick, S.; Erlbeck, L.; Gaedtke, M.; Wunder, F.; Mayer, C.; Krause, M. J.; Nirschl, H.; Rädle, M.
2020. International journal of energy research, 44 (8), 7047–7056. doi:10.1002/er.5406  

Investigation of particle detachment in wall-flow filters employing resolved particle simulations
Hafen, N.; Dittler, A.; Krause, M.
2020, March. 29th International Conference on Discrete Simulation of Fluid Dynamics (DSFD 2020), Online, July 13–17, 2020 

Radiative transfer lattice Boltzmann methods: 3D models and their performance in different regimes of radiative transfer
Mink, A.; McHardy, C.; Bressel, L.; Rauh, C.; Krause, M. J.
2020. Journal of quantitative spectroscopy & radiative transfer, 243, Art. Nr.: 106810. doi:10.1016/j.jqsrt.2019.106810 

Feasibility Study for a Chemical Process Particle Size Characterization System for Explosive Environments Using Low Laser Power
Ross-Jones, J.; Teumer, T.; Wunsch, S.; Petri, L.; Nirschl, H.; Krause, M. J.; Methner, F.-J.; Rädle, M.
2020. Micromachines, 11 (10), Art. Nr.: 911. doi:10.3390/mi11100911  

Multi-Objective Differential Evolution Algorithms for the Protein Structure Prediction Problem
Narloch, P. H.; Krause, M. J.; Dorn, M.
2020. 2020 IEEE Congress on Evolutionary Computation, CEC 2020; Virtual, Glasgow; United Kingdom; 19 July 2020 through 24 July 2020, Art. Nr.: 9185711, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CEC48606.2020.9185711 

Evaluation of a near-wall-modeled large eddy lattice boltzmann method for the analysis of complex flows relevant to IC engines
Haussmann, M.; Ries, F.; Jeppener-Haltenhoff, J. B.; Li, Y.; Schmidt, M.; Welch, C.; Illmann, L.; Böhm, B.; Nirschl, H.; Krause, M. J.; Sadiki, A.
2020. Computation, 8 (2), Art. Nr.: 43. doi:10.3390/COMPUTATION8020043  

Numerical study on the application of vacuum insulation panels and a latent heat storage for refrigerated vehicles with a large Eddy lattice Boltzmann method
Gaedtke, M.; Wachter, S.; Kunkel, S.; Sonnick, S.; Rädle, M.; Nirschl, H.; Krause, M. J.
2020. Heat and mass transfer, 56 (4), 1189–1201. doi:10.1007/s00231-019-02753-4  

Noise reduction of flow MRI measurements using a lattice Boltzmann based topology optimisation approach
Klemens, F.; Schuhmann, S.; Balbierer, R.; Guthausen, G.; Nirschl, H.; Thäter, G.; Krause, M. J.
2020. Computers & fluids, 197, Art.-Nr.: 104391. doi:10.1016/j.compfluid.2019.104391 

Simulation of particle-layer rearrangement in ceramic wall flow filters with Lattice Boltzmann methods emplying resolved particles: A first feasability study
Hafen, N.; Dittler, A.; Krause, M. J.
2019, April. International Congress on Particle Technology (PARTEC 2019), Nuremberg, Germany, April 9–11, 2019 

OpenLB: A Parallel Open Source Lattice Boltzmann Software for Solving Fluid Flow Simulation and Optimization Problems in Process Engineering
Krause, M. J.
2019, March 19. Jahrestreffen der ProcessNet-Fachgruppe CFD (2019), Frankfurt am Main, Germany, March 19–20, 2019 

Aufklärung von Umlagerungsvorgängen reaktiv-inerter Partikelschichten in keramischen Querstromfiltern mittels aufgelöster Partikel-Simulation
Hafen, N.; Dittler, A.; Krause, M.
2019, March. Jahrestagung der ProcessNet-Fachgruppen Mechanische Flüssigkeitsabtrennung und Gasreinigung (2019), Bamberg, Germany, March 14–15, 2019 

Fluid Flow Control and Simulation with Lattice Boltzmann Methods: Application to Process and Medical Engineering
Krause, M. J.
2019. 12th International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT 2019), Rome, Italy, September 3–6, 2019 

Direct numerical simulation of decaying homogeneous isotropic turbulence - Numerical experiments on stability, consistency and accuracy of distinct lattice Boltzmann methods
Haussmann, M.; Simonis, S.; Nirschl, H.; Krause, M. J.
2019. International journal of modern physics / C, 30 (9), Article: 1950074. doi:10.1142/S0129183119500748 

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
Haussmann, M.; Barreto, A. C.; Kouyi, G. L.; Rivière, N.; Nirschl, H.; Krause, M. J.
2019. Computers and mathematics with applications, 78 (10), 3285–3302. doi:10.1016/j.camwa.2019.04.033 

Flow and heat transfer simulation with a thermal large eddy lattice Boltzmann method in an annular gap with an inner rotating cylinder
Gaedtke, M.; Hoffmann, T.; Reinhardt, V.; Thäter, G.; Nirschl, H.; Krause, M. J.
2019. International journal of modern physics / C, 30 (02n03), Art.-Nr.: 1950013. doi:10.1142/S012918311950013X 

An auto-vecotorization friendly parallel lattice Boltzmann streaming scheme for direct addressing
Mohrhard, M.; Thäter, G.; Bludau, J.; Horvat, B.; Krause, M. J.
2019. Computers & fluids, 181, 1–7. doi:10.1016/j.compfluid.2019.01.001 

Towards Lattice-Boltzmann modelling of unconfined gas mixing in anaerobic digestion
Dapelo, D.; Trunk, R.; Krause, M. J.; Bridgeman, J.
2019. Computers & fluids, 180, 11–21. doi:10.1016/j.compfluid.2018.12.008  

Fluid flow simulations verified by measurements to investigate adsorption processes in a static mixer
Maier, M.-L.; Milles, S.; Schuhmann, S.; Guthausen, G.; Nirschl, H.; Krause, M. J.
2018. Computers and mathematics with applications, 76 (11-12), 2744–2757. doi:10.1016/j.camwa.2018.08.066 

Magnetic Particle Dynamics Combined with Protein Purification Modeled by Euler and Lagrange Approaches
Maier, M.-L.; Janz, S.; Nirschl, H.; Krause, M. J.
2018, September 12. 12th European Fluid Mechanics Conference (EFMC 2018), Vienna, Austria, September 9–13, 2018 

Towards the simulation of arbitrarily shaped 3D particles using a homogenised lattice Boltzmann method
Trunk, R.; Marquardt, J.; Thäter, G.; Nirschl, H.; Krause, M. J.
2018. Computers & fluids, 172, 621–631. doi:10.1016/j.compfluid.2018.02.027 

Adaptive filtering for the simulation of turbulent flows with lattice Boltzmann methods
Nathen, P.; Haussmann, M.; Krause, M. J.; Adams, N. A.
2018. Computers & fluids, 172, 510–523. doi:10.1016/j.compfluid.2018.03.042 

Towards the simulations of inertial dense particulate flows with a volume-averaged lattice Boltzmann method
Höcker, S. B.; Trunk, R.; Dörfler, W.; Krause, M. J.
2018. Computers & fluids, 166, 152–162. doi:10.1016/j.compfluid.2018.02.011  

CFD-MRI : A coupled measurement and simulation approach for accurate fluid flow characterisation and domain identification
Klemens, F.; Schuhmann, S.; Guthausen, G.; Thäter, G.; Krause, M. J.
2018. Computers & fluids, 166, 218–224. doi:10.1016/j.compfluid.2018.02.022  

Boundary Modeling for Radiative Transport Lattice Boltzmann Methods
Mink, A.; Haussmann, M.; Nirschl, H.; Krause, M.; Boltzmann, L.
2018, March 7. Jahrestreffen der ProcessNet-Fachgruppen Mehrphasenströmungen, Wärme- und Stoffübertragung und Computational Fluid Dynamics (2018), Bremen, Germany, March 6–7, 2018 

Numerical Investigations of Magnetic Particle Agglomeration Combined with Adsorption = Numerische Untersuchungen zum Agglomerationsverhalten von magnetischen Partikeln in Kombination mit Adsorptionsvorgängen
Maier, M.-L.; Nirschl, H.; Krause, M.
2018, March 7. Jahrestreffen der ProcessNet-Fachgruppen Mehrphasenströmungen, Wärme- und Stoffübertragung und Computational Fluid Dynamics (2018), Bremen, Germany, March 6–7, 2018 

Three-dimensional protein structure prediction based on memetic algorithms
Corrêa, L. de L.; Borguesan, B.; Krause, M. J.; Dorn, M.
2018. Computers & operations research, 91, 160–177. doi:10.1016/j.cor.2017.11.015  

Solving fluid flow domain identification problems with adjoint lattice Boltzmann methods
Klemens, F.; Förster, B.; Dorn, M.; Thäter, G.; Krause, M. J.
2018. Computers and mathematics with applications, 79 (1), 17–33. doi:10.1016/j.camwa.2018.07.010  

Conjugate heat transfer through nano scale porous media to optimize vacuum insulation panels with lattice Boltzmann methods
Ross-Jones, J.; Gaedtke, M.; Sonnick, S.; Rädle, M.; Nirschl, H.; Krause, M. J.
2018. Computers and mathematics with applications, 77 (1), 209–221. doi:10.1016/j.camwa.2018.09.023  

Application of a lattice Boltzmann method combined with a Smagorinsky turbulence model to spatially resolved heat flux inside a refrigerated vehicle
Gaedtke, M.; Wachter, S.; Rädle, M.; Nirschl, H.; Krause, M. J.
2018. Computers and mathematics with applications, 76 (10), 2315–2329. doi:10.1016/j.camwa.2018.08.018  

On the Stability and Accuracy of the BGK, MRT and RLB Boltzmann Schemes for the Simulation of Turbulent Flows
Nathen, P.; Gaudlitz, D.; Krause, M. J.; Adams, N. A.
2018. Communications in computational physics, 23 (2), 846–876. doi:10.4208/cicp.OA-2016-0229  

Microfiber Filter Performance Prediction Using a Lattice Boltzmann Method
Augusto, L. de L. X.; Ross-Jones, J.; Lopes, G. C.; Tronville, P.; Goncalves, J. A. S.; Radle, M.; Krause, M. J.
2018. Communications in computational physics, 23 (4), 910–931. doi:10.4208/cicp.OA-2016-0180 

Everyone Is a Protagonist : Residue Conformational Preferences in High-Resolution Protein Structures
Ligabue-Braun, R.; Borguesan, B.; Verli, H.; Krause, M. J.; Dorn, M.
2018. Journal of computational biology, 25 (4), 451–465. doi:10.1089/cmb.2017.0182  

Fazit – Messen und Verstehen der Welt durch Wissenschaft
Krause, M. J.; Becker, S.
2017. Messen und Verstehen in der Wissenschaft. Ed.: M. Schweiker, 277–286, Springer Fachmedien Wiesbaden. doi:10.1007/978-3-658-18354-7_18 

Multiscale Simulation with a Two-Way Coupled Lattice Boltzmann Method and Discrete Element Method
Maier, M. L.; Henn, T.; Thaeter, G.; Nirschl, H.; Krause, M. J.
2017. Chemical engineering & technology, 40 (9), 1591–1598. doi:10.1002/ceat.201600547 

MRI-based computational hemodynamics in patients with aortic coarctation using the lattice Boltzmann methods : Clinical validation study
Mirzaee, H.; Henn, T.; Krause, M. J.; Goubergrits, L.; Schumann, C.; Neugebauer, M.; Kuehne, T.; Preusser, T.; Hennemuth, A.
2017. Journal of magnetic resonance imaging, 45 (1), 139–146. doi:10.1002/jmri.25366  

Particle flow simulations with homogenised lattice Boltzmann methods
Krause, M. J.; Klemens, F.; Henn, T.; Trunk, R.; Nirschl, H.
2017. Particuology, 34, 1–13. doi:10.1016/j.partic.2016.11.001 

LBM-LES modelling of low reynolds number turbulent flow over NACA0012 aerofoil
Nadim, N.; Chandratilleke, T. T.; Krause, M. J.
2016. Fluid-Structure-Sound Interactions and Control : 3rd Symposium on Fluid-Structure-Sound Interactions and Control, Perth, Western Australia, 5-9 July 2015. Ed.: Y. Zhou, 205–210, Springer-Verlag. doi:10.1007/978-3-662-48868-3_33 

Mesoscopic Modeling and Simulation of Algal Growth in Photobioreactors
Mink, A.; Krause, M.
2016. 13th International Conference for Mesoscopic Methods in Engineering and Science, July 18-22, 2016, Hamburg 

Inertial dilute particulate fluid flow simulations with an Euler–Euler lattice Boltzmann method
Trunk, R.; Henn, T.; Dörfler, W.; Nirschl, H.; Krause, M. J.
2016. Journal of computational science, 17 (2), 438–445. doi:10.1016/j.jocs.2016.03.013 

A 3D Lattice Boltzmann method for light simulation in participating media
Mink, A.; Thäter, G.; Nirschl, H.; Krause, M. J.
2016. Journal of computational science, 17, 431–437. doi:10.1016/j.jocs.2016.03.014 

OpenLB - Strömungssimulation und -kontrolle für verfahrenstechnische Anwendungen
Krause, M.; Dörfler, W.; Maier, M.; Mink, A.; Nirschl, H.; Thäter, G.; Trunk, R.
2016. Jahrestreffen der ProcessNet-Fachgruppen Agglomerations- und Schüttguttechnik, Mehrphasenströmungen und Computational Fluid Dynamics, Bingen, 29.Februar - 2.März 2016 

Parameter Estimation of Ion Current Formulations Requires Hybrid Optimization Approach to Be Both Accurate and Reliable
Loewe, A.; Wilhelms, M.; Schmid, J.; Krause, M. J.; Fischer, F.; Thomas, D.; Scholz, E. P.; Dössel, O.; Seemann, G.
2016. Frontiers in Bioengineering and Biotechnology, 3, 209/1–13. doi:10.3389/fbioe.2015.00209  

Simultaneous optimization of gait and design parameters for bipedal robots
Römer, U. J.; Kuhs, C.; Krause, M. J.; Fidlin, A.
2016. Proceedings of the 2016 IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden 16-21 May 2016, 1374–1381, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICRA.2016.7487271  

A 3D Lattice Boltzmann Method for Light Simulation in Participating Media [Abstract]
Mink, A.; Krause, M.
2015. DSFD 2015 - 24th International Conference on Discrete Simulation of Fluid Dynamics, 13 - 17 July 2015, Edinburgh  

An Eulerian Approach to Dilute Particulate Flow Simulations with Lattice Boltzmann Methods
Krause, M.; Trunk, R.; Henn, T.
2015. DSFD 2015 - 24th International Conference on Discrete Simulation of Fluid Dynamics, 13.-17.07.2015, Edinburgh  

Parallel dilute particulate flow simulations in the human nasal cavity
Henn, T.; Thäter, G.; Dörfler, W.; Nirschl, H.; Krause, M. J.
2015. Computers & Fluids, 124 (Spec. Iss.), 197–207. doi:10.1016/j.compfluid.2015.08.002 

Aortic Coarctation Simulation Based on the Lattice Boltzmann Method: Benchmark Results
Henn, T.; Heuveline, V.; Krause, M. J.; Ritterbusch, S.
2013. Statistical atlases and computational models of the heart : imaging and modelling challenges ; third international workshop ; revised selected papers. STACOM 2012, held in conjunction with MICCAI 2012, Nice, France, October 5, 2012. Ed.: O. Camara, 34–43, Springer-Verlag. doi:10.1007/978-3-642-36961-2_5 

An extension of the Lattice Boltzmann Method for simulating turbulent flows around rotating geometries of arbitary shape
Nathen, P.; Gaudlitz, D.; Krause, M. J.; Kratzke, J.
2013. 21st AIAA Comutational Fluid Dynamics Conference, 24 - 27 June 2013, San Diego, California 

Adjoint-based Fluid Flow Control and Optimisation with Lattice Boltzmann Methods
Krause, M. J.; Thäter, G.; Heuveline, V.
2013. Computers & Mathematics with Applications, 65 (6), 945–960. doi:10.1016/j.camwa.2012.08.007 

Parallel Fluid Flow Control and Optimisation with Lattice Boltzmann Methods and Automatic Differentiation
Krause, M. J.; Heuveline, V.
2013. Computers & Fluids, 80, 28–36. doi:10.1016/j.compfluid.2012.07.026 

Aortic Coarctation simulation based on the Lattice Boltzmann method: benchmark results
Henn, T.; Heuveline, V.; Krause, M.; Ritterbusch, S.
2012. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000032844  

Optimized Hybrid Parallel Lattice Boltzmann Fluid Flow Simulations on Complex Geometries
Fietz, J.; Krause, M. J.; Schulz, C.; Sanders, P.; Heuveline, V.
2012. Euro-Par 2012 parallel processing : 18th International Conference, Euro-Par 2012, Rhodes Islands, Greece, August 27-31, 2012. Ed.: Ch. Kaklamanis, 818–829, Springer-Verlag. doi:10.1007/978-3-642-32820-6_81 

Calibration of Human Cardiac Ion Current Models to Patch Clamp Measurement Data
Wilhelms, M.; Schmid, J.; Krause, M. J.; Konrad, N.; Maier, J.; Scholz, E. P.; Heuveline, V.; Dössel, O.; Seemann, G.
2012. Computing in Cardiology, 39, 229–232 

Comment on "Nonreciprocal Light Propagation in a Silicon Photonic Circuit"
Fan, S.; Baets, R.; Petrov, A.; Yu, Z.; Joannopoulos, J. D.; Freude, W.; Melloni, A.; Popovic, M.; Vanwolleghem, M.; Jalas, D.; Eich, M.; Krause, M.; Renner, H.; Brinkmeyer, E.; Doerr, C. R.
2012. Science, 335 (6064), 38-. doi:10.1126/science.1216682 

OpenLB Progress Report: Towards Automated Preprocessing for Lattice Boltzmann Fluid Flow Simulations in Complex Geometries
Krause, M. J.
2011. Proceedings of the 4th EMCL-Workshop "Numerical Simulation, Optimization and High Performance Computing". Ed.: V. Heuveline, 38–40, Karlsruher Institut für Technologie (KIT) 

Numerical Simulation of the Human Lung: A Two-scale Approach
Gengenbach, T.; Heuveline, V.; Krause, M. J.
2011. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000023986  

A Preprocessing Approach for Innovative Patient-specific Intranasal Flow Simulations
Gengenbach, T.; Heuveline, V.; Krause, M. J.; Mayer, R.; Zimny, S.
2011. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000023803  

Fluid Flow Simulation and Optimisation with Lattice Boltzmann Methods on High Performance Computers - Application to the Human Respiratory System. PhD dissertation
Krause, M. J.
2010. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000019768  

Towards a hybrid parallelization of lattice Boltzmann methods
Heuveline, V.; Krause, M. J.; Latt, J.
2009. Computers and Mathematics with Applications, 58 (5), 1071 

Non-destructive characterisation of mortar layers for concrete repair using radar and ultrasonics
Maihofer, C.; Wöstmann, J.; Krause, M.; Milmann, B.; Behrendt, B.; Müller, H. S.
2003. International Symposium Non-Destructive Testing in Civil Engineering (NDT-CE), Berlin, 16. - 19. September 2003, CD-ROM, DGZfP