| Massively parallel grid generation on HPC systems A Lintermann, S Schlimpert, JH Grimmen, C Günther, M Meinke, ... Computer Methods in Applied Mechanics and Engineering 277, 131-153, 2014 | 100 | 2014 |
| Assessment of changes in the nasal airway after nonsurgical miniscrew-assisted rapid maxillary expansion in young adults SY Kim, YC Park, KJ Lee, A Lintermann, SS Han, HS Yu, YJ Choi The Angle Orthodontist 88 (4), 435-441, 2018 | 84 | 2018 |
| The new agreement of the international RIGA consensus conference on nasal airway function tests K Vogt, G Bachmann-Harildstad, A Lintermann, A Nechyporenko, F Peters, ... Rhinology 56 (2), 133-143, 2018 | 59 | 2018 |
| Fluid mechanics based classification of the respiratory efficiency of several nasal cavities A Lintermann, M Meinke, W Schröder Computers in biology and medicine 43 (11), 1833-1852, 2013 | 43 | 2013 |
| Zonal Flow Solver (ZFS): a highly efficient multi-physics simulation framework A Lintermann, M Meinke, W Schröder International journal of computational fluid dynamics 34 (7-8), 458-485, 2020 | 41 | 2020 |
| Simulation of aerosol particle deposition in the upper human tracheobronchial tract A Lintermann, W Schröder European Journal of Mechanics-B/Fluids 63, 73-89, 2017 | 33 | 2017 |
| A hierarchical numerical journey through the nasal cavity: from nose-like models to real anatomies A Lintermann, W Schröder Flow, turbulence and combustion 102, 89-116, 2019 | 29 | 2019 |
| Numerical simulation of nasal cavity flow based on a Lattice-Boltzmann method G Eitel, RK Freitas, A Lintermann, M Meinke, W Schröder New Results in Numerical and Experimental Fluid Mechanics VII: Contributions …, 2010 | 26 | 2010 |
| Lattice–Boltzmann simulations for complex geometries on high‑performance computers A Lintermann, W Schröder CEAS Aeronautical Journal, 2020 | 14 | 2020 |
| Investigations of the inspiration and heating capability of the human nasal cavity based on a Lattice-Boltzmann method A Lintermann, M Meinke, W Schröder Proceedings of the ECCOMAS Thematic International Conference on Simulation …, 2011 | 14 | 2011 |
| Lattice-Boltzmann solutions with local grid refinement for nasal cavity flows A Lintermann, G Eitel-Amor, M Meinke, W Schröder New Results in Numerical and Experimental Fluid Mechanics VIII …, 2013 | 13 | 2013 |
| An effective simulation-and measurement-based workflow for enhanced diagnostics in rhinology M Waldmann, A Grosch, C Witzler, M Lehner, O Benda, W Koch, K Vogt, ... Medical & biological engineering & computing 60 (2), 365-391, 2022 | 12 | 2022 |
| Computational meshing for cfd simulations A Lintermann Clinical and biomedical engineering in the human nose: A computational fluid …, 2021 | 12 | 2021 |
| Practice and experience in using parallel and scalable machine learning with heterogenous modular supercomputing architectures M Riedel, R Sedona, C Barakat, P Einarsson, R Hassanian, G Cavallaro, ... 2021 IEEE International Parallel and Distributed Processing Symposium …, 2021 | 11 | 2021 |
| Analysis of the effects of MARME treatment on respiratory flow using the lattice-Boltzmann method M Waldmann, A Lintermann, YJ Choi, W Schröder New Results in Numerical and Experimental Fluid Mechanics XII: Contributions …, 2020 | 11 | 2020 |
| Computational fluid dynamics: a suitable assessment tool for demonstrating the antiobstructive effect of drugs in the therapy of allergic rhinitis N Achilles, N Pasch, A Lintermann, W Schröder, R Mösges Acta Otorhinolaryngologica Italica 33 (1), 36, 2013 | 11 | 2013 |
| A machine-learning-based method for automatizing lattice-Boltzmann simulations of respiratory flows M Rüttgers, M Waldmann, W Schröder, A Lintermann Applied Intelligence 52 (8), 9080-9100, 2022 | 10 | 2022 |
| Prediction of acoustic fields using a lattice-Boltzmann method and deep learning M Rüttgers, SR Koh, J Jitsev, W Schröder, A Lintermann International Conference on High Performance Computing, 81-101, 2020 | 10 | 2020 |
| Investigations of human nasal cavity flows based on a Lattice-Boltzmann method A Lintermann, M Meinke, W Schröder High Performance Computing on Vector Systems 2011, 143-158, 2012 | 10 | 2012 |
| Enabling interactive supercomputing at JSC Lessons Learned JH Göbbert, T Kreuzer, A Grosch, A Lintermann, M Riedel High Performance Computing: ISC High Performance 2018 International …, 2018 | 9 | 2018 |
Prof. Dr.-Ing. Morris RiedelProfessor of High Performance Computing & Machine Learning, Forschungszentrum Juelich & UoIcelandПідтверджена електронна адреса в fz-juelich.de
