Petr Karnakov
Postdoc
Research and Interests
- Computational fluid dynamics
- Multiphase flow
- Electrochemistry
- Machine learning for scientific computing
Education
- PhD, ETH Zurich, 2021
- Master of Science in Mechanics and Mathematical Modeling, Novosibirsk State University, 2016
Links
- ODIL: Framework for solving inverse problems for differential equations
- Aphros: Finite volume solver for multiphase flows with surface tension
- Gallery of interactive fluid simulations
- Course material for APMTH 205 (numerical methods) lectured in Fall 2022
- Personal YouTube channel about fluid simulations
Publications
- Cherny S, Lapin V, Esipov D, Kuranakov D, Avdyushenko A, Lyutov A, Karnakov P. Simulating fully 3D non-planar evolution of hydraulic fractures. International Journal of Fracture. 2016 10.1007/s10704-016-0122-x
- Hashemi SMH, Karnakov P, Hadikhani P, Chinello E, Litvinov S, Moser C, Koumoutsakos P, Psaltis D. A versatile and membrane-less electrochemical reactor for the electrolysis of water and brine. Energy & environmental science. 2019 10.1039/C9EE00219G
- Rasthofer U, Wermelinger F, Karnakov P, Šukys J, Koumoutsakos P. Computational study of the collapse of a cloud with 12 500 gas bubbles in a liquid. Physical Review Fluids. 2019 10.1103/PhysRevFluids.4.063602
- Karnakov P, Wermelinger F, Chatzimanolakis M, Litvinov S, Koumoutsakos P. A high performance computing framework for multiphase, turbulent flows on structured grids. Proceedings of the platform for advanced scientific computing conference on – PASC ’19. 2019 10.1145/3324989.3325727 [pdf]
- Karnakov P, Litvinov S, and Koumoutsakos P. A hybrid particle volume-of-fluid method for curvature estimation in multiphase flows. International journal of multiphase flow. 2020 10.1016/j.ijmultiphaseflow.2020.103209 arXiv:1906.00314
- Wan Z, Karnakov P, Koumoutsakos P, Sapsis T. Bubbles in Turbulent Flows: Data-driven, kinematic models with history terms. International journal of multiphase flow. 2020 10.1016/j.ijmultiphaseflow.2020.103286 arXiv:1910.02068
- Karnakov P, Litvinov S, Favre JM, Koumoutsakos P. V0018: Breaking waves: to foam or not to foam? Gallery of Fluid Motion Award video article
- Karnakov P, Arampatzis G, Kičić I, Wermelinger F, Wälchli D, Papadimitriou C, Koumoutsakos P. Data-driven inference of the reproduction number for COVID-19 before and after interventions for 51 European countries. Swiss medical weekly. 2020 10.4414/smw.2020.20313
- Karnakov P, Wermelinger F, Litvinov S, Koumoutsakos P. Aphros: High Performance Software for Multiphase Flows with Large Scale Bubble and Drop Clusters. Proceedings of the platform for advanced scientific computing conference on – PASC ’20. 2020 10.1145/3394277.3401856 [pdf]
- Chatzimanolakis M, Weber P, Arampatzis G, Wälchli D, Kičić I, Karnakov P, Papadimitriou C, Koumoutsakos P. Optimal allocation of limited test resources for the quantification of COVID-19 infections. Swiss Medical Weekly. 2020 10.4414/smw.2020.20445
- Martin SM, Wälchli D, Arampatzis G, Economides AE, Karnakov P, Koumoutsakos P. Korali: Efficient and scalable software framework for Bayesian uncertainty quantification and stochastic optimization. Computer Methods in Applied Mechanics and Engineering. 2021 10.1016/j.cma.2021.114264
- Karnakov P. The multilayer volume-of-fluid method for multiphase flows across scales: breaking waves, microfluidics, and membrane-less electrolyzers. PhD thesis. ETH Zurich. 2021 10.3929/ethz-b-000547518
- Karnakov P, Litvinov S, Koumoutsakos P. Computing foaming flows across scales: from breaking waves to microfluidics. Science Advances. 2022 10.1126/sciadv.abm0590
- Karnakov P, Litvinov S, Koumoutsakos P. Flow reconstruction by multiresolution optimization of a discrete loss with automatic differentiation. Eur. Phys. J, 2023 10.1140/epje/s10189-023-00313-7 arXiv:2303.04679
- Karnakov P, Litvinov S, Koumoutsakos P. Solving inverse problems in physics by optimizing a discrete loss: Fast and accurate learning without neural networks. PNAS Nexus, 2024 10.1093/pnasnexus/pgae005