Artikel
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A. Mjalled, R. Namdar, L. Reineking, M. Norouzi, F. Varnik and M. Mönnigmann. Flow Field Prediction in Bed Configurations: A Parametric Spatio-Temporal Convolutional Autoencoder Approach. Numerical Heat Transfer, Part B: Fundamentals, 2024. more..
BibTeX
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A. Mjalled, M. El Hassan, J. Boldocky, M. Gulan and M. Mönnigmann. Improved Neural Ordinary Differential Equation-based Reduced Model for Impinging Jet using Wall Shear Stress. Physics of Fluids, 36, 2024. more..
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L. Reineking, J. Fischer, A. Mjalled, E. Illana, S. Wirtz, V. Scherer, and M. Mönnigmann. Convective drying of wood chips: accelerating coupled DEM-CFD simulations with parametrized reduced single particle models. Particuology, 84: 158-167, 2023. more..
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R. Jendersie, A. Mjalled, X. Lu, L. Reineking, A. Kharaghani, M. Mönnigmann and C. Lessig. NeuroPNM: Model Reduction of Pore Network Models using Neural Networks. Particuology, 86: 239-251, 2023. more..
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Konferenzbeiträge in Proceedings
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A. Mjalled, K. D. Sommer, Y. P. Ravichandran, R. Skoda and M. Mönnigmann. Reduced order models of centrifugal pump for control applications: a comparison of Galerkin-projection and neural networks. 12th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2024), 2024. more..
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A. Mjalled, L. Reineking, and M. Mönnigmann. Parametric Data-Driven Reduced Order Model using Neural Networks and Manifold-based Interpolation. Proceedings of the 24th International Conference on Process Control (PC): 168–173, 2023. more..
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A. Mjalled, E. Torres, and M. Mönnigmann. Reduced-Order Modeling Framework Using Two-Level Neural Networks. Proceedings in Applied Mathematics and Mechanics (PAMM), 2023. more..
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A. Mjalled, M. El Hassan, H. Assoum and M. Mönnigmann. Data-driven modeling using convolutional neural network for experimental velocity fields of an impinging jet. European Modeling and Simulation Symposium, EMSS, 2023. more..
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Konferenzbeiträge ohne Proceedings
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A. Mjalled, R. Jendersie, X. Lu, L. Reineking, A. Kharaghani, M. Mönnigmann and C. Lessig. NeuroPNM: Model Reduction of Pore Network Models using Neural Networks. 1st International Workshop on Reacting Particle-Gas Systems, 2022
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