| Aerodynamic web forming: process simulation and material properties S Gramsch, A Klar, G Leugering, N Marheineke, C Nessler, C Strohmeyer, ... Journal of Mathematics in Industry 6, 1-23, 2016 | 21 | 2016 |
| Local modelling of sea surface topography from (geostrophic) ocean flow T Fehlinger, W Freeden, S Gramsch, C Mayer, D Michel, M Schreiner ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte …, 2007 | 19 | 2007 |
| Ill-posed equations with transformed argument S Gramsch, E Schock Abstract and Applied Analysis 2003, 785-791, 2003 | 11 | 2003 |
| Integral formulae and wavelets on regular regions of the sphere S Gramsch Shaker, 2007 | 6 | 2007 |
| Analysis of the fiber laydown quality in spunbond processes with simulation experiments evaluated by blocked neural networks S Gramsch, A Sarishvili, A Schmeißer Advances in Polymer Technology 2020, 11 pages, 2020 | 5 | 2020 |
| Optimizing spunbond, meltblown, and airlay processes with FIDYST S Gramsch, D Hietel, R Wegener Melliand International, 96-98, 2015 | 5 | 2015 |
| Visual parameter space analysis for optimizing the quality of industrial nonwovens VS Victor, A Schmeißer, H Leitte, S Gramsch IEEE Computer Graphics and Applications 42 (2), 56-67, 2022 | 3 | 2022 |
| Analysis of the package diameter in winding processes by image analysis and a linear regression model} S Gramsch, EG Bell, A Moghiseh, A Schmeißer Journal of Engineered Fibers and Fabrics 17, 15589250211073249, 2022 | 3 | 2022 |
| Prognosemodelle für die Corona-Pandemie J Mohring, R Wegener, S Gramsch, A Schöbel Kaiserslautern: Fraunhofer Institut für Techno-und Wirtschaftsmathematik …, 2020 | 3 | 2020 |
| Three‐dimensional simulation of nonwoven fabrics using a greedy approximation of the distribution of fiber directions S Gramsch, M Kontak, V Michel ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte …, 2018 | 3 | 2018 |
| Simulation of Fiber Dynamics and Fiber-Wall Contacts for Airlay Processes S Gramsch, A Schmeißer, R Wegener Progress in Industrial Mathematics at ECMI 2014, 993-1000, 2017 | 3 | 2017 |
| Simulation-based setting suggestions for yarn winding units to reduce color variation in knitted fabric A Schmeißer, EG Bell, S Gramsch, R Heidenreich Textile Research Journal 93 (11-12), 2604-2619, 2023 | 2 | 2023 |
| Konstruktive Approximation des Windfeldes - Entscheidungsgrundlage für waldbauliche Planungen W Freeden, S Gramsch, A Luther, G Schüler Forstarchiv 76, 44-53, 2005 | 2 | 2005 |
| Ensight4Matlab: read, process, and write files in EnSight® Gold format from C++ or MATLAB®. A Schmeißer, D Burkhart, D Linn, J Schnebele, M Ettmüller, S Gramsch, ... J. Open Source Softw. 2 (20), 217, 2017 | 1 | 2017 |
| Machine Learning Based Optimization Workflow for Tuning Numerical Settings of Differential Equation Solvers for Boundary Value Problems VS Victor, M Ettmüller, A Schmeißer, H Leitte, S Gramsch arXiv preprint arXiv:2404.10472, 2024 | | 2024 |
| Machine learning-based optimization workflow of the homogeneity of spunbond nonwovens with human validation VS Victor, A Schmeißer, H Leitte, S Gramsch arXiv preprint arXiv:2404.09604, 2024 | | 2024 |
| Machine Learning Based Optimization Workflow for Tuning Numerical Settings of Differential Equation Solvers for Boundary Value Problems V Saajan Victor, M Ettmüller, A Schmeißer, H Leitte, S Gramsch arXiv e-prints, arXiv: 2404.10472, 2024 | | 2024 |
| Machine learning-based optimization workflow of the homogeneity of spunbond nonwovens with human validation V Saajan Victor, A Schmeißer, H Leitte, S Gramsch arXiv e-prints, arXiv: 2404.09604, 2024 | | 2024 |
| Machine Learning Optimized Approach for Parameter Selection in MESHFREE Simulations P Banerjee, M Padmanabha, C Sanghavi, I Michel, S Gramsch arXiv preprint arXiv:2403.13672, 2024 | | 2024 |
| Optimizing spunbond nonwovens for filter media production using a novel approach of machine learning and fiber/fluid simulations S Gramsch, A Sarishvili, A Schmeißer FILTECH 2019, ISBN: 978-3-941655-17-1, 6 pages, 2019 | | 2019 |
Andre SchmeißerFraunhofer ITWMEmail verificata su itwm.fraunhofer.de
