Source: https://www.openlb.net/articles/
Timestamp: 2019-04-19 22:15:01+00:00

Document:
Complete list of publications with search function, bibtex and links.
L. de Lima Corrêa, B. Borguesan, M.J. Krause, and M. Dorn. “Three-Dimensional Protein Structure Prediction Based on Memetic Algorithms”. In: Computers & Operations Research 91 (2018), pp. 160–177. issn: 0305-0548. doi: https://doi.org/10.1016/j.cor.2017.11.015. url: https://www.sciencedirect.com/science/article/pii/S0305054817302897.
M.J. Krause, F. Klemens, T. Henn, R. Trunk, and R. Nirschl. “Particle flow simulations with homogenised lattice Boltzmann methods”. In: Particuology 34 (Oct. 2017), pp. 1–13. issn: 1674-2001. doi: http://doi.org/10.1016/j.partic.2016.11.001. url:http://www.sciencedirect.com/science/article/pii/S167420011730041X.
L. de Luca Xavier Augusto, J. Ross-Jones, G. Cantarelli Lopes, P. Tronville, J.A. Silveira Gonçalves, M. Rädle, and M.J. Krause. “Microfiber Filter Performance Prediction using a Lattice-Boltzmann Method”. In: Communications in Computational Physics (2017).
M.-L. Maier, T. Henn, G. Thaeter, H. Nirschl, and M. J. Krause. “Towards Validated Multiscale Simulation with a Two-Way Coupled LBM and DEM”. In: Chemical Engineering & Technology 40.9 (Sept. 2017), pp. 1591–1598. issn: 1521-4125. doi: 10.1002/ceat.201600547. url:http://dx.doi.org/10.1002/ceat.201600547.
P. Nathen, D. Gaudlitz, M.J. Krause, and N.A. Adams. “On the Stability and Accuracy of the BGK, MRT and RLB Boltzmann Schemes for the Simulation of Turbulent Flows”. In: Communications in Computational Physics 23.3 (Mar. 2017), pp. 846–876. doi: 10.4208/cicp.OA-2016-0229.
T. Henn, G. Thäter, W. Dörfler, H. Nirschl, and M.J. Krause. “Parallel dilute particulate flow simulations in the human nasal cavity”. In: Computers & Fluids 124 (2016), pp. 197–207. issn: 0045-7930. doi: http://dx.doi.org/10.1016/j.compfluid.2015.08.002. url:http://www.sciencedirect.com/scienc/article/pii/S0045793015002728.
A. Loewe, M. Wilhelms, J. Schmid, M.J. Krause, F. Fischer, D. Thomas, E.P. Scholz, O. Dössel, and G. Seemann. “Parameter estimation of ion current formulations requires hybrid optimization approach to be both accurate and reliable”. In: Frontiers in Bioengineering and Biotechnology 3.209 (2016). issn: 2296-4185. doi: 10.3389/fbioe.2015.00209. url: http://www.frontiersin.org/computational_physiology_and_medicine/10.3389/fbioe.2015.00209/abstract.
A. Mink, G. Thäter, H. Nirschl, and M.J. Krause. “A 3D Lattice Boltzmann Method for Light Simulation in Participating Media”. In: Journal of Computational Science 17, Part 2(2016), pp. 431–437. doi: http://dx.doi.org/10.1016/j.jocs.2016.03.014. url:http://www.sciencedirect.com/science/article/pii/S1877750316300357.
H. Mirzaee, T. Henn, M.J. Krause, L. Goubergrits, C. Schumann, M. Neugebauer, T. Kuehne, T. Preusser, and A. Hennemuth. “MRI-based computational hemodynamics in patients with aortic coarctation using the lattice Boltzmann methods: Clinical validation study”. In: Journal of Magnetic Resonance Imaging (2016). issn: 1522-2586. doi: 10.1002/jmri.25366. url:http://dx.doi.org/10.1002/jmri.25366.
R. Trunk, T. Henn, W. Dörfler, H. Nirschl, and M.J. Krause. “Inertial Dilute Particulate Fluid Flow Simulations with an Euler-Euler Lattice Boltzmann Method”. In: Journal of Computational Science 17, Part 2 (2016), pp. 438–445. doi: http://dx.doi.org/10.1016/j.jocs.2016.03.013. url: http://www.sciencedirect.com/science/article/pii/S1877750316300345.
M.J. Krause and V. Heuveline. “Parallel Fluid Flow Control and Optimisation with Lattice Boltzmann Methods and Automatic Differentiation”. In:Computers and Fluids 80 (2013),pp. 28–36. issn: 0045-7930. doi: 10.1016/j.compfluid.2012.07.026. url: http://www.sciencedirect.com/science/article/pii/S0045793012002940?v=s5.
M.J. Krause, G. Thäter, and V. Heuveline. “Adjoint-based Fluid Flow Control and Optimisation with Lattice Boltzmann Methods”. In: Computers & Mathematics with Applications 65.6 (2013), pp. 945–960. issn: 0898-1221. doi: 10 . 1016 / j . camwa . 2012 . 08 . 007. url:http://www.sciencedirect.com/science/article/pii/S0898122112005421.
M.J. Krause, T. Gengenbach, R. Mayer, S. Zimney, and V. Heuveline. “How to Breathe Life into CT-Data”. In: Computer Aided Medical Engineering 4 (2011), pp. 29–33.
M.J. Krause. “Fluid Flow Simulation and Optimisation with Lattice Boltzmann Methods on High Performance Computers: Application to the Human Respiratory System”. eng.http://digbib.ubka.uni-karlsruhe.de/volltexte/1000019768. PhD thesis. Kaiserstraße 12, 76131 Karlsruhe, Germany: Karlsruhe Institute of Technology (KIT), Universität Karlsruhe (TH), July 2010. url: http://digbib.ubka.uni-karlsruhe.de/volltexte/1000019768.
V. Heuveline, M.J. Krause, and J. Latt. “Towards a Hybrid Parallelization of Lattice Boltzmann Methods”. In: Computers & Mathematics with Applications 58 (2009), pp. 1071–1080. doi:10.1016/j.camwa.2009.04.001. url: http://dx.doi.org/10.1016/j.camwa.2009.04.001.
M.J. Krause. “Durch Numerische Simulation zur wissenschaftlichen Erkenntnis”. In: Messen und Verstehen in der Wissenschaft: Interdisziplinäre Ansätze. Ed. by Marcel Schweiker, Joachim Hass, Anna Novokhatko, and Roxana Halbleib. Wiesbaden: Springer Fachmedien Wiesbaden, 2017, pp. 237–253. isbn: 978-3-658-18354-7. doi: 10.1007/978-3-658-18354-7_16. url: http://dx.doi.org/10.1007/978-3-658-18354-7_16.
M.J. Krause and S. Becker. “Fazit – Messen und Verstehen der Welt durch Wissenschaft”. In: Messen und Verstehen in der Wissenschaft: Interdisziplinäre Ansätze. Ed. by Marcel Schweiker, Joachim Hass, Anna Novokhatko, and Roxana Halbleib. Wiesbaden: Springer Fachmedien Wiesbaden, 2017, pp. 277–286. isbn: 978-3-658-18354-7. doi: 10.1007/978-3-658-18354-7_18. url: http://dx.doi.org/10.1007/978-3-658-18354-7_18.
M.J. Krause, A. Mink, B. Förster, and F. Klemens. “Charakterisierung von durchströmten Gefäßen und der Hämodynamik mittels modell- und simulationsbasierter Fluss-MRI (CFDMRI): Verbesserung des Modellsystems und erste Machbarkeitsstudie zur Anwendung in der Medizin”. In: Heidelberger Akademie der Wissenschaften Jahrbuch 2016, 2017. Chap. 14, pp. 269–272.
M.J. Krause, B. Förster, A. Mink, and H. Nirschl. “Towards Solving Fluid Flow Domain Identification Problems with Adjoint Lattice Boltzmann Methods”. In: High Performance Computing in Science and Engineering´ 16. Springer, 2016, pp. 337–353.
M.J. Krause, M.-L. Maier, and A. Mink. “Charakterisierung von durchströmten Gefäßen und der Hämodynamik mittels modell- und simulationsbasierter Fluss-MRI (CFD-MRI): Grundlegende Methodenentwicklung zur optimal-kalibrierten CFD-Simulation”. In: Heidelberger Akademie der Wissenschaften Jahrbuch 2015, 2016. Chap. 14, pp. 301–304.
N. Nadim, T.T. Chandratilleke, and M.J. Krause. “LBM-LES Modelling of Low Reynolds Number Turbulent Flow Over NACA0012 Aerofoil”. English. In: Fluid-Structure-Sound Interactions and Control. Ed. by Y. Zhou, A.D. Lucey, Y. Liu, and L. Huang. Lecture Notes in Mechanical Engineering. Springer Berlin Heidelberg, 2016, pp. 205–210. isbn: 978-3-662-48866-9. doi:10.1007/978-3-662-48868-3_33. url: http://dx.doi.org/10.1007/978-3-662-48868-3_33.
U. Römer, C. Kuhs, M.J. Krause, and A. Fidlin. “Simultaneous optimization of gait and design parameters for bipedal robots”. In: 2016 IEEE International Conference on Robotics and Automation (ICRA). May 2016, pp. 1374–1381. doi: 10.1109/ICRA.2016.7487271.
M.J. Krause, A. Mink, and P. Weisbrod. “Charakterisierung von durchströmten Gefäßen und der Hämodynamik mittels modell- und simulationsbasierter Fluss-MRI (CFD-MRI)”. In: Heidelberger Akademie der Wissenschaften Jahrbuch 2014, 2015. Chap. 14, pp. 291–293.
P. Nathen, D. Gaudlitz, M.J. Krause, and J. Kratzke. “An extension of the Lattice Boltzmann Method for simulating turbulent flows around rotating geometries of arbitrary shape”. In: 21st AIAA Computational Fluid Dynamics Conference, San Diego. American Institute of Aeronautics and Astronautics. 2013. doi: doi : 10 . 2514 / 6 . 2013 – 2573. url: http://dx.doi.org/10.2514/6.2013-2573.
J. Fietz, M.J. Krause, C. Schulz, P. Sanders, and V. Heuveline. “Optimized Hybrid Parallel Lattice Boltzmann Fluid Flow Simulations on Complex Geometries”. In: Euro-Par 2012 Parallel Processing. Ed. by C. Kaklamanis, T. Papatheodorou, and P.G. Spirakis. Vol. 7484. Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012, pp. 818–829. isbn: 978-3-642-32819-0. doi: 10.1007/978-3-642-32820-6_81. url: http://dx.doi.org/10.1007/978-3-642-32820-6_81.
T. Henn, M.J. Krause, S. Ritterbusch, and V. Heuveline. “Lattice Boltzmann Method Meets Aortic Coarctation Model”. In: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. Ed. by O. Camara, T. Mansi, M. Pop, K. Rhode, M. Sermesant, and A. Young. Vol. 7746. Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012, pp. 34–43. isbn: 978-3-642-23628-0.
M. Wilhelms, J. Schmid, M.J. Krause, N. Konrad, J. Maier, E.P. Scholz, V. Heuveline, O. Dossel, and G. Seemann. “Calibration of human cardiac ion current models to patch clamp measurement data”. In: Computing in Cardiology (CinC), 2012. Vol. 39. 2012, pp. 229–232.
V. Heuveline and M.J. Krause. “OpenLB: Towards an Efficient Parallel Open Source Library for Lattice Boltzmann Fluid Flow Simulations”. In: PARA’08 Workshop on State-of-the-Art in Scientific and Parallel Computing, May 13-16, 2008. Ed. by J. Dongarra A.C. Elster and J. Wasniewski. Springer series Lecture Notes in Computer Science (LNCS) 6126, 6127. Published online 2011, https://para08.idi.ntnu.no/docs/submission_37.pdf. 2011. url: https://para08.idi.ntnu.no/docs/submission%5C_37.pdf.
M.J. Krause, T. Gengenbach, and V. Heuveline. “Hybrid Parallel Simulations of Fluid Flows in Complex Geometries: Application to the Human Lungs”. In: Euro-Par 2010 Parallel Processing Workshops. Ed. by M. Guarracino, F. Vivien, J. Traeff, M. Cannatoro, M. Danelutto, A. Hast, F. Perla, A. Knuepfer, B. Di Martino, and M. Alexander. Vol. 6586. Lecture Notes in Computer Science. Springer Berlin / Heidelberg, 2011, pp. 209–216. isbn: 978-3-642-21877-4. url: http://dx.doi.org/10.1007/978-3-642-21878-1_26.
M.J. Krause, T. Henn, A. Mink, R. Trunk, P. Nathen, F. Klemens, M.-L. Maier, M. Mohrhard, A. Claro Barreto, M. Haußmann, M. Gaedtke, and J. Ross-Jones. OpenLB Release 1.1: Open Source Lattice Boltzmann Code. online. Apr. 2017. url: https://www.openlb.net/download.
M.J. Krause, T. Henn, A. Mink, R. Trunk, P. Weisbrod, P. Nathen, F. Klemens, and M.-L. Maier. OpenLB Release 1.0: Open Source Lattice Boltzmann Code. online. Mar. 2016. url:https://www.openlb.net/download.
M.J. Krause, T. Henn, A. Mink, R. Trunk, P. Weisbrod, P. Nathen, F. Klemens, and M.-L. Maier. OpenLB Release 0.9: Open Source Lattice Boltzmann Code. online. Mar. 2015. url:https://www.openlb.net/download.
M.J. Krause, T. Henn, L. Baron, A. Mink, P. Weisbrod, P. Nathen, and G. Zahnd. OpenLB Release 0.8: Open Source Lattice Boltzmann Code. online. Nov. 2013. url: https://www.openlb.net/download.
M.J. Krause, T. Henn, L. Baron, J. Kratzke, J. Fietz, and T. Dornieden. OpenLB Release 0.7: Open Source Lattice Boltzmann Code. online. Feb. 2012. url: https://www.openlb.net/download.
M.J. Krause, S. Zimny, T. Henn, and J. Fietz. OpenLB Release 0.6: Open Source Lattice Boltzmann Code. online. June 2011. url: https://www.openlb.net/download.
M.J. Krause, J. Fietz, U. Zeltmann, M. Wlozka, M. Baumann, and H. Bockelmann. OpenGPI Release 0.2: An Open and Generic Parameter Interface. online. June 2010. url: http://www.optilb.org/opengpi/index.php?cat=20_Download&page=00_Download.
J. Latt and M.J. Krause. OpenLB Release 0.4: Open Source Lattice Boltzmann Code. online. Jan. 2008. url: https://www.openlb.net/download.
J. Latt, M.J. Krause, O. Malaspinas, and B. Stahl. OpenLB Release 0.5: Open Source Lattice Boltzmann Code. online. May 2008. url: https://www.openlb.net/download.
J. Latt and M.J. Krause. OpenLB Release 0.3: Open Source Lattice Boltzmann Code. online. June 2007. url: https://www.openlb.net/download.
T. Gengenbach, M.J. Krause, and V. Heuveline. Numerical Simulation of the Human Lung: A Two–scale Approach. EMCL Preprint Series. http://dx.doi.org/10.11588/emclpp.2011.11.11687. 2011. url: http://dx.doi.org/10.11588/emclpp.2011.11.11687.
M.J. Krause, T. Gengenbach, R. Mayer, S. Zimney, and V. Heuveline. A Preprocessing Approach for Innovative Patient-specific Intranasal Flow Simulations. EMCL Preprint Series.http://dx.doi.org/10.11588/emclpp.2011.07.11691. 2011. url: http://dx.doi.org/10.11588/emclpp.2011.07.11691.
V. Heuveline and M.J. Krause. Biotechnologie und Numerik auf Hochleistungsrechnern: ein zukünftiges Gespann in Baden-Württemberg, Marktstudie für HWW GmbH. 2006.

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