A Learnable Prior Improves Inverse Tumor Growth Modeling - Jonas Weidner; Ivan Ezhov; Michal Balcerak; Marie-Christin Metz; Sergey Litvinov; Sebastian Kaltenbach; Leonhard F. Feiner; Laurin Lux; Florian Kofler; Jana Lipková; Jonas Latz; Daniel Rueckert; et al. (CoRR, 2024)

Path planning of magnetic microswimmers in high-fidelity simulations of capillaries with deep reinforcement learning - Lucas Amoudruz; Sergey Litvinov; Petros Koumoutsakos (CoRR, 2024)

Flow reconstruction by multiresolution optimization of a discrete loss with automatic differentiation - Petr Karnakov; Sergey Litvinov; Petros Koumoutsakos (CoRR, 2023)

Individualizing Glioma Radiotherapy Planning by Optimization of a Data and Physics Informed Discrete Loss - Michal Balcerak; Ivan Ezhov; Petr Karnakov; Sergey Litvinov; Petros Koumoutsakos; Jonas Weidner; Ray Zirui Zhang; John S. Lowengrub; Benedikt Wiestler; Bjoern H. Menze (CoRR, 2023)

Optimizing a DIscrete Loss (ODIL) to solve forward and inverse problems for partial differential equations using machine learning tools - Petr Karnakov; Sergey Litvinov; Petros Koumoutsakos (CoRR, 2022)

Computing foaming flows across scales: from breaking waves to microfluidics - Petr Karnakov; Sergey Litvinov; Petros Koumoutsakos (CoRR, 2021)

Mirheo: High-performance mesoscale simulations for microfluidics - Dmitry Alexeev; Lucas Amoudruz; Sergey Litvinov; Petros Koumoutsakos (Comput. Phys. Commun., 2020)

Aphros: High Performance Software for Multiphase Flows with Large Scale Bubble and Drop Clusters - Petr Karnakov; Fabian Wermelinger; Sergey Litvinov; Petros Koumoutsakos (PASC '20: Platform for Advanced Scientific Computing Conference, Geneva, Switzerland, June 29 - July 1, 2020, 2020)

A High Performance Computing Framework for Multiphase, Turbulent Flows on Structured Grids - Petr Karnakov; Fabian Wermelinger; Michail Chatzimanolakis; Sergey Litvinov; Petros Koumoutsakos (Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2019, Zurich, Switzerland, June 12-14, 2019, 2019)

Bending models of lipid bilayer membranes: spontaneous curvature and area-difference elasticity - Xin Bian; Sergey Litvinov; Petros Koumoutsakos (CoRR, 2019)

A hybrid particle volume-of-fluid method for curvature estimation in multiphase flows - Petr Karnakov; Sergey Litvinov; Petros Koumoutsakos (CoRR, 2019)

Mirheo: High-Performance Mesoscale Simulations for Microfluidics - Dmitry Alexeev; Lucas Amoudruz; Sergey Litvinov; Petros Koumoutsakos (CoRR, 2019)

A novel partitioning method for block-structured adaptive meshes - Lin Fu; Sergey Litvinov; Xiangyu Hu; Nikolaus A. Adams (J. Comput. Phys., 2017)

Towards the Virtual Rheometer: High Performance Computing for the Red Blood Cell Microstructure - Athena Economides; Lucas Amoudruz; Sergey Litvinov; Dmitry Alexeev; Sara Nizzero; Panagiotis E. Hadjidoukas; Diego Rossinelli; Petros Koumoutsakos (Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2017, Lugano, Switzerland, June 26 - 28, 2017, 2017)

Numerical methods for the weakly compressible Generalized Langevin Model in Eulerian reference frame - Dmitrii Azarnykh; Sergey Litvinov; Nikolaus A. Adams (J. Comput. Phys., 2016)

Towards consistence and convergence of conservative SPH approximations - Sergey Litvinov; Xiangyu Hu; Nikolaus A. Adams (J. Comput. Phys., 2015)

A splitting scheme for highly dissipative smoothed particle dynamics - Sergey Litvinov; Marco Ellero; Xiangyu Hu; Nikolaus A. Adams (J. Comput. Phys., 2010)