Scholar
Petr Karnakov
Google Scholar ID: h6ix7c8AAAAJ
Unknown affiliation
Citations & Impact
Citations
523
H-index
13
i10-index
15
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- List of publications and other research outcomes, see personal website for details.
Research Experience
- ODIL: A method and Python framework for solving inverse problems for partial differential equations, which is orders of magnitude faster than PINN (physics-informed neural networks).
- Aphros: Distributed multiphysics solver in C++ with MPI for simulating multiphase flow with bubbles and electrochemical reactors. The solver performed the largest simulations of foaming by breakup and mixing of air in water.
- autodiff: Automatic differentiation framework in C++ with GPU support through OpenCL.
- AM205: Visual materials for a class on numerical methods that I lectured in 2022.
- ptoy: Game with particles and portals in C++.
- TinyOS: Prototype operating system in x86 assembly for a school competition in 2008.
Background
- Research scientist developing software and numerical algorithms for simulation, control, and design of complex physical systems. Interests ranging from classical numerical methods to data-driven techniques and machine learning, with a focus on software engineering and high-performance computing.
Miscellany
- Other projects and personal interests include video processing (e.g., removing day-night cycle from videos) and sound synthesis.
Co-authors