| A versatile and membrane-less electrochemical reactor for the electrolysis of water and brine SMH Hashemi, P Karnakov, P Hadikhani, E Chinello, S Litvinov, C Moser, ... Energy & Environmental Science 12 (5), 1592-1604, 2019 | 107 | 2019 |
| Simulating fully 3D non-planar evolution of hydraulic fractures S Cherny, V Lapin, D Esipov, D Kuranakov, A Avdyushenko, A Lyutov, ... International Journal of Fracture 201 (2), 181-211, 2016 | 40 | 2016 |
| Data-driven inference of the reproduction number for COVID-19 before and after interventions for 51 European countries P Karnakov, G Arampatzis, I Kičić, F Wermelinger, D Wälchli, ... Swiss medical weekly 150, w20313, 2020 | 34 | 2020 |
| Computational study of the collapse of a cloud with gas bubbles in a liquid U Rasthofer, F Wermelinger, P Karnakov, J Šukys, P Koumoutsakos Physical Review Fluids 4 (6), 063602, 2019 | 32 | 2019 |
| A hybrid particle volume-of-fluid method for curvature estimation in multiphase flows P Karnakov, S Litvinov, P Koumoutsakos International Journal of Multiphase Flow 125, 103209, 2020 | 28 | 2020 |
| Korali: Efficient and scalable software framework for Bayesian uncertainty quantification and stochastic optimization SM Martin, D Wälchli, G Arampatzis, AE Economides, P Karnakov, ... Computer Methods in Applied Mechanics and Engineering 389, 114264, 2022 | 23* | 2022 |
| Optimal allocation of limited test resources for the quantification of COVID-19 infections M Chatzimanolakis, P Weber, G Arampatzis, D Wälchli, I Kičić, ... Swiss Medical Weekly 150, w20445, 2020 | 17 | 2020 |
| Optimizing a DIscrete Loss (ODIL) to solve forward and inverse problems for partial differential equations using machine learning tools P Karnakov, S Litvinov, P Koumoutsakos arXiv preprint arXiv:2205.04611, 2022 | 16 | 2022 |
| Computing foaming flows across scales: From breaking waves to microfluidics P Karnakov, S Litvinov, P Koumoutsakos Science Advances 8 (5), eabm0590, 2022 | 14 | 2022 |
| Bubbles in turbulent flows: Data-driven, kinematic models with history terms ZY Wan, P Karnakov, P Koumoutsakos, TP Sapsis International Journal of Multiphase Flow 129, 103286, 2020 | 12 | 2020 |
| Модель гидроразрыва пласта, включающая механизм закупоривания трещины пропантом ПВ Карнаков, ВН Лапин, СГ Чёрный Вестник Новосибирского государственного университета. Серия: Информационные …, 2014 | 12 | 2014 |
| Aphros: High Performance Software for Multiphase Flows with Large Scale Bubble and Drop Clusters P Karnakov, F Wermelinger, S Litvinov, P Koumoutsakos Proceedings of the Platform for Advanced Scientific Computing Conference, 1-10, 2020 | 11 | 2020 |
| 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, 17, 2019 | 9 | 2019 |
| Flow reconstruction by multiresolution optimization of a discrete loss with automatic differentiation P Karnakov, S Litvinov, P Koumoutsakos The European Physical Journal E 46 (7), 59, 2023 | 5 | 2023 |
| Breaking waves: To foam or not to foam? P Karnakov, S Litvinov, JM Favre, P Koumoutsakos Physical Review Fluids 5 (11), 110503, 2020 | 5 | 2020 |
| Peculiarities of the hydraulic fracture propagation caused by pumping of proppant-fluid slurry PV Karnakov, DS Kuranakov, VN Lapin, SG Cherny, DV Esipov Thermophysics and Aeromechanics 25, 587-603, 2018 | 3 | 2018 |
| Individualizing Glioma Radiotherapy Planning by Optimization of a Data and Physics Informed Discrete Loss M Balcerak, I Ezhov, P Karnakov, S Litvinov, P Koumoutsakos, J Weidner, ... arXiv preprint arXiv:2312.05063, 2023 | 2 | 2023 |
| Solving inverse problems in physics by optimizing a discrete loss: Fast and accurate learning without neural networks P Karnakov, S Litvinov, P Koumoutsakos PNAS nexus 3 (1), pgae005, 2024 | 1 | 2024 |
| Optimizing the Discrete Loss for the Solution for Inverse problems in fluid mechanics: multiresolution and automatic differentiation P Koumoutsakos, P Karnakov, S Litvinov Bulletin of the American Physical Society, 2023 | | 2023 |
| Data assimilation for compressible flows by optimizing a discrete loss (ODIL) with automatic differentiation P Karnakov, D Bezgin, A Buhendwa, N Adams, P Koumoutsakos Bulletin of the American Physical Society, 2023 | | 2023 |
