| Convective drying of wood chips: Accelerating coupled DEM-CFD simulations with parametrized reduced single particle models L Reineking, J Fischer, A Mjalled, E Illana, S Wirtz, V Scherer, ... Particuology 84, 158-167, 2024 | 11 | 2024 |
| NeuroPNM: Model reduction of pore network models using neural networks R Jendersie, A Mjalled, X Lu, L Reineking, A Kharaghani, M Mönnigmann, ... Particuology 86, 239-251, 2024 | 4 | 2024 |
| Parametric Data-Driven Reduced Order Model using neural networks and manifold-based interpolation A Mjalled, L Reineking, M Mönnigmann 2023 24th International Conference on Process Control (PC), 168-173, 2023 | 3 | 2023 |
| Reduced‐order modeling framework using two‐level neural networks A Mjalled, E Torres, M Mönnigmann PAMM 23 (2), e202300061, 2023 | 1 | 2023 |
| Parametric 3D Convolutional Autoencoder for the Prediction of Flow Fields in a Bed Configuration of Hot Particles A Mjalled, R Namdar, L Reineking, M Norouzi, F Varnik, M Mönnigmann arXiv preprint arXiv:2307.02960, 2023 | 1 | 2023 |
| Improved neural ordinary differential equation-based reduced model for impinging jet using wall shear stress A Mjalled, M El Hassan, J Boldocky, M Gulan, M Mönnigmann Physics of Fluids 36 (11), 2024 | | 2024 |
| Flow field prediction in bed configurations: A parametric spatio-temporal convolutional autoencoder approach A Mjalled, R Namdar, L Reineking, M Norouzi, F Varnik, M Mönnigmann Numerical Heat Transfer, Part B: Fundamentals, 1-24, 2024 | | 2024 |
| Reduced order models of centrifugal pump for control applications: a comparison of Galerkin-projection and neural networks A Mjalled, K Sommer, YP Ravichandran, R Skoda, M Mönnigmann IFAC-PapersOnLine 58 (14), 289-294, 2024 | | 2024 |
| Data-driven modeling using convolutional neural network for experimental velocity fields of an impinging jet A Mjalled, M El Hassan, HH Assoum, M Mönnigmann | | 2023 |
Martin MönnigmannRuhr-Universität Bochum在 rub.de 的电子邮件经过验证
