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Kirill Lykov

dblp:168/0266 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 2 first-authorSystems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
High-performance computing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
High-performance computing › large-scale simulation
extreme-scale simulation
0.212015
The in-silico lab-on-a-chip: petascale and high-throughput simulations of microfluidics at cell resolution · SC 2015
High-performance computing › supercomputing
petascale computing
0.212015
The in-silico lab-on-a-chip: petascale and high-throughput simulations of microfluidics at cell resolution · SC 2015
High-performance computing
scientific computing systems
0.212015
The in-silico lab-on-a-chip: petascale and high-throughput simulations of microfluidics at cell resolution · SC 2015

Methods — techniques the papers use, named apart from their topics

subcellular resolution simulation · 0.2performance optimization · 0.2
YearPublicationVenuePosition
2017 Probing eukaryotic cell mechanics via mesoscopic simulations
abstract
Cell mechanics has proven to be important in many biological processes. Although there is a number of experimental techniques which allow us to study mechanical properties of cell, there is still a lack of understanding of the role each sub-cellular component plays during cell deformations. We present a new mesoscopic particle-based eukaryotic cell model which explicitly describes cell membrane, nucleus and cytoskeleton. We employ Dissipative Particle Dynamics (DPD) method that provides us with the unified framework for modeling of a cell and its interactions in the flow. Data from micropipette aspiration experiments were used to define model parameters. The model was validated using data from microfluidic experiments. The validated model was then applied to study the impact of the sub-cellular components on the cell viscoelastic response in micropipette aspiration and microfluidic experiments.
Kirill Lykov, Yasaman Nematbakhsh, Menglin Shang, Chwee Teck Lim, Igor Pivkin
PLoS Comput. Biol.1
2015 The in-silico lab-on-a-chip: petascale and high-throughput simulations of microfluidics at cell resolution
abstract
We present simulations of blood and cancer cell separation in complex microfluidic channels with subcellular resolution, demonstrating unprecedented time to solution, performing at 65.5% of the available 39.4 PetaInstructions/s in the 18, 688 nodes of the Titan supercomputer.
Diego Rossinelli, Yu-Hang Tang, Kirill Lykov, Dmitry Alexeev, Massimo Bernaschi, Panagiotis Hadjidoukas, Mauro Bisson, Wayne Joubert, Christian Conti, George Em Karniadakis, Massimiliano Fatica, Igor Pivkin, Petros Koumoutsakos
SC3
2015 Inflow/Outflow Boundary Conditions for Particle-Based Blood Flow Simulations: Application to Arterial Bifurcations and Trees
abstract
When blood flows through a bifurcation, red blood cells (RBCs) travel into side branches at different hematocrit levels, and it is even possible that all RBCs enter into one branch only, leading to a complete separation of plasma and RBCs. To quantify this phenomenon via particle-based mesoscopic simulations, we developed a general framework for open boundary conditions in multiphase flows that is effective even for high hematocrit levels. The inflow at the inlet is duplicated from a fully developed flow generated in a pilot simulation with periodic boundary conditions. The outflow is controlled by adaptive forces to maintain the flow rate and velocity gradient at fixed values, while the particles leaving the arteriole at the outlet are removed from the system. Upon validation of this approach, we performed systematic 3D simulations to study plasma skimming in arterioles of diameters 20 to 32 microns. For a flow rate ratio 6:1 at the branches, we observed the "all-or-nothing" phenomenon with plasma only entering the low flow rate branch. We then simulated blood-plasma separation in arteriolar bifurcations with different bifurcation angles and same diameter of the daughter branches. Our simulations predict a significant increase in RBC flux through the main daughter branch as the bifurcation angle is increased. Finally, we demonstrated the effectiveness of the new methodology in simulations of blood flow in vessels with multiple inlets and outlets, constructed using an angiogenesis model.
Kirill Lykov, Xuejin Li, Huan Lei, Igor Pivkin, George Em Karniadakis
PLoS Comput. Biol.1