Sergey Litvinov

23 papers Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scalable, cloud-based simulations of blood flow and targeted drug delivery in retinal capillaries. Comput. Phys. Commun. Lucas Amoudruz, Sergey Litvinov, Riccardo Murri, Volker Eyrich, Jens Zudrop, Costas Bekas, Petros Koumoutsakos
2025	J	`jnl`	A Learnable Prior Improves Inverse Tumor Growth Modeling. IEEE Trans. Medical Imaging 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, Bjoern H. Menze, Benedikt Wiestler
2025	J	`jnl`	Bayesian Inference for PDE-based Inverse Problems using the Optimization of a Discrete Loss. CoRR Lucas Amoudruz, Sergey Litvinov, Costas Papadimitriou, Petros Koumoutsakos
2025	J	`jnl`	Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming. CoRR Vasileios Saketos, Sebastian Kaltenbach, Sergey Litvinov, Petros Koumoutsakos
2025	J	`jnl`	Optimal Lattice Boltzmann Closures through Multi-Agent Reinforcement Learning. CoRR Paul Fischer, Sebastian Kaltenbach, Sergey Litvinov, Sauro Succi, Petros Koumoutsakos
2025	J	`jnl`	Scalable, Cloud-Based Simulations of Blood Flow and Targeted Drug Delivery in Retinal Capillaries. CoRR Lucas Amoudruz, Sergey Litvinov, Riccardo Murri, Volker Eyrich, Jens Zudrop, Costas Bekas, Petros Koumoutsakos
2024	J	`jnl`	A Learnable Prior Improves Inverse Tumor Growth Modeling. CoRR 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, Bjoern H. Menze, Benedikt Wiestler
2024	J	`jnl`	Path planning of magnetic microswimmers in high-fidelity simulations of capillaries with deep reinforcement learning. CoRR Lucas Amoudruz, Sergey Litvinov, Petros Koumoutsakos
2023	J	`jnl`	Flow reconstruction by multiresolution optimization of a discrete loss with automatic differentiation. CoRR Petr Karnakov, Sergey Litvinov, Petros Koumoutsakos
2023	J	`jnl`	Individualizing Glioma Radiotherapy Planning by Optimization of a Data and Physics Informed Discrete Loss. CoRR Michal Balcerak, Ivan Ezhov, Petr Karnakov, Sergey Litvinov, Petros Koumoutsakos, Jonas Weidner, Ray Zirui Zhang, John S. Lowengrub, Benedikt Wiestler, Bjoern H. Menze
2022	J	`jnl`	Optimizing a DIscrete Loss (ODIL) to solve forward and inverse problems for partial differential equations using machine learning tools. CoRR Petr Karnakov, Sergey Litvinov, Petros Koumoutsakos
2021	J	`jnl`	Computing foaming flows across scales: from breaking waves to microfluidics. CoRR Petr Karnakov, Sergey Litvinov, Petros Koumoutsakos
2020	—	`conf`	Aphros: High Performance Software for Multiphase Flows with Large Scale Bubble and Drop Clusters. PASC Petr Karnakov, Fabian Wermelinger, Sergey Litvinov, Petros Koumoutsakos
2020	J	`jnl`	Mirheo: High-performance mesoscale simulations for microfluidics. Comput. Phys. Commun. Dmitry Alexeev, Lucas Amoudruz, Sergey Litvinov, Petros Koumoutsakos
2019	—	`conf`	A High Performance Computing Framework for Multiphase, Turbulent Flows on Structured Grids. PASC Petr Karnakov, Fabian Wermelinger, Michail Chatzimanolakis, Sergey Litvinov, Petros Koumoutsakos
2019	J	`jnl`	A hybrid particle volume-of-fluid method for curvature estimation in multiphase flows. CoRR Petr Karnakov, Sergey Litvinov, Petros Koumoutsakos
2019	J	`jnl`	Bending models of lipid bilayer membranes: spontaneous curvature and area-difference elasticity. CoRR Xin Bian, Sergey Litvinov, Petros Koumoutsakos
2019	J	`jnl`	Mirheo: High-Performance Mesoscale Simulations for Microfluidics. CoRR Dmitry Alexeev, Lucas Amoudruz, Sergey Litvinov, Petros Koumoutsakos
2017	J	`jnl`	A novel partitioning method for block-structured adaptive meshes. J. Comput. Phys. Lin Fu, Sergey Litvinov, Xiangyu Hu, Nikolaus A. Adams
2017	—	`conf`	Towards the Virtual Rheometer: High Performance Computing for the Red Blood Cell Microstructure. PASC Athena Economides, Lucas Amoudruz, Sergey Litvinov, Dmitry Alexeev, Sara Nizzero, Panagiotis E. Hadjidoukas, Diego Rossinelli, Petros Koumoutsakos
2016	J	`jnl`	Numerical methods for the weakly compressible Generalized Langevin Model in Eulerian reference frame. J. Comput. Phys. Dmitrii Azarnykh, Sergey Litvinov, Nikolaus A. Adams
2015	J	`jnl`	Towards consistence and convergence of conservative SPH approximations. J. Comput. Phys. Sergey Litvinov, Xiangyu Hu, Nikolaus A. Adams
2010	J	`jnl`	A splitting scheme for highly dissipative smoothed particle dynamics. J. Comput. Phys. Sergey Litvinov, Marco Ellero, Xiangyu Hu, Nikolaus A. Adams