| Optimal allocation of limited test resources for the quantification of COVID-19 infections M Chatzimanolakis, P Weber, G Arampatzis, D Wälchli, I Kičić, ... medRxiv, 2020.11. 09.20228320, 2020 | 17 | 2020 |
| A painless intrusive polynomial chaos method with RANS-based applications M Chatzimanolakis, KD Kantarakias, VG Asouti, KC Giannakoglou Computer Methods in Applied Mechanics and Engineering 348, 207-221, 2019 | 16 | 2019 |
| A high performance computing framework for multiphase, turbulent flows on structured grids P Karnakov, F Wermelinger, M Chatzimanolakis, S Litvinov, ... Proceedings of the Platform for Advanced Scientific Computing Conference, 1-9, 2019 | 8 | 2019 |
| On the development of the 3D Euler equations using intrusive pce for uncertainty quantification KD Kantarakias, ME Chatzimanolakis, VG Asouti, KC Giannakoglou 2nd ECCOMAS Thematic Conference on Uncertainty Quantification in …, 2017 | 6 | 2017 |
| Adaptive learning of effective dynamics for online modeling of complex systems I Kičić, PR Vlachas, G Arampatzis, M Chatzimanolakis, L Guibas, ... Computer Methods in Applied Mechanics and Engineering 415, 116204, 2023 | 5 | 2023 |
| Vortex separation cascades in simulations of the planar flow past an impulsively started cylinder up to M Chatzimanolakis, P Weber, P Koumoutsakos Journal of Fluid Mechanics 953, R2, 2022 | 5 | 2022 |
| Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems I Kičić, PR Vlachas, G Arampatzis, M Chatzimanolakis, L Guibas, ... arXiv preprint arXiv:2304.01732, 2023 | 4 | 2023 |
| CubismAMR--A C++ library for Distributed Block-Structured Adaptive Mesh Refinement M Chatzimanolakis, P Weber, F Wermelinger, P Koumoutsakos arXiv preprint arXiv:2206.07345, 2022 | 4 | 2022 |
| High Performance Computing of Vortex Dominated Flows with Adaptive Mesh Refinement M Chatzimanolakis ETH Zurich, 2023 | 1 | 2023 |
| Optimal Testing Strategy for the Identification of COVID-19 Infections M Chatzimanolakis, P Weber, G Arampatzis, D Wälchli, I Kičić, ... medRxiv, 2020.07. 20.20157818, 2020 | 1 | 2020 |
| Learning in two dimensions and controlling in three: Generalizable drag reduction strategies for flows past circular cylinders through deep reinforcement learning M Chatzimanolakis, P Weber, P Koumoutsakos Physical Review Fluids 9 (4), 043902, 2024 | | 2024 |
| Drag Reduction in Flows Past 2D and 3D Circular Cylinders Through Reinforcement Learning S Litvinov, M Chatzimanolakis, P Weber, P Koumoutsakos Bulletin of the American Physical Society, 2023 | | 2023 |
| Drag Reduction in Flows Past 2D and 3D Circular Cylinders Through Deep Reinforcement Learning M Chatzimanolakis, P Weber, P Koumoutsakos arXiv preprint arXiv:2309.02109, 2023 | | 2023 |
| An interpretable wildfire spreading model for real-time predictions K Vogiatzoglou, C Papadimitriou, K Ampountolas, M Chatzimanolakis, ... arXiv preprint arXiv:2306.01766, 2023 | | 2023 |
| Schooling Hydrodynamics of 300 Fish M Chatzimanolakis, P Weber, M Triantafyllou, P Koumoutsakos APS Division of Fluid Dynamics Meeting Abstracts, H13. 010, 2021 | | 2021 |
| Optimal Testing Strategy for the Identification of COVID-19 Infections (preprint) M Chatzimanolakis, P Weber, G Arampatzis, D Wälchli, P Karnakov, ... | | 2020 |
| Optimal Allocation of Limited Test Resources for the Quantification of COVID-19 Infections (preprint) M Chatzimanolakis, P Weber, G Arampatzis, D Wälchli, I Kičić, ... | | 2020 |
| A painless intrusive polynomial chaos expansion approach to the CFD analysis and the adjoint-based optimization M Chatzimanolakis | | 2018 |
| Setting up the Intrusive Polynomial Chaos Method for Uncertainty Quantification and Adjoint-based Optimization in Compressible Fluid Flows M Chatzimanolakis, KD Kantarakias, VG Asouti, KC Giannakoglou | | |
Petros KoumoutsakosHarvard UniversityVerified email at seas.harvard.edu
