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Dmitry Vladimirovich Alexeev
Dmitry Vladimirovich Alexeev
PhD student, ETH Zurich
Verified email at ethz.ch
Title
Cited by
Cited by
Year
Kapitza resistance between few-layer graphene and water: liquid layering effects
D Alexeev, J Chen, JH Walther, KP Giapis, P Angelikopoulos, ...
Nano letters 15 (9), 5744-5749, 2015
1952015
Learning to school in the presence of hydrodynamic interactions
M Gazzola, AA Tchieu, D Alexeev, A de Brauer, P Koumoutsakos
Journal of Fluid Mechanics 789, 726-749, 2016
1542016
Synchronisation through learning for two self-propelled swimmers
G Novati, S Verma, D Alexeev, D Rossinelli, WM Van Rees, ...
Bioinspiration & biomimetics 12 (3), 036001, 2017
1392017
Bayesian uncertainty quantification and propagation for discrete element simulations of granular materials
PE Hadjidoukas, P Angelikopoulos, D Rossinelli, D Alexeev, ...
Computer Methods in Applied Mechanics and Engineering 282, 218-238, 2014
372014
The in-silico lab-on-a-chip: petascale and high-throughput simulations of microfluidics at cell resolution
D Rossinelli, YH Tang, K Lykov, D Alexeev, M Bernaschi, P Hadjidoukas, ...
Proceedings of the International Conference for High Performance Computing …, 2015
362015
Mirheo: high-performance mesoscale simulations for microfluidics
D Alexeev, L Amoudruz, S Litvinov, P Koumoutsakos
Computer Physics Communications 254, 107298, 2020
132020
The ICON-A model for direct QBO simulations on GPUs (version icon-cscs: baf28a514)
MA Giorgetta, W Sawyer, X Lapillonne, P Adamidis, D Alexeev, V Clément, ...
Geoscientific Model Development 15 (18), 6985-7016, 2022
12*2022
Synchronised swimming of two fish
G Novati, S Verma, D Alexeev, D Rossinelli, WM van Rees, ...
arXiv preprint arXiv:1610.04248, 2016
102016
Hierarchical Bayesian uncertainty quantification for a model of the red blood cell
A Economides, G Arampatzis, D Alexeev, S Litvinov, L Amoudruz, ...
Physical Review Applied 15 (3), 034062, 2021
82021
Global climate simulations at 2.8 km on GPU with the ICON model
X Lapillonne, W Sawyer, P Marti, V Clement, R Dietlicher, L Kornblueh, ...
EGU2020, 2020
12020
The in-silico lab-on-a-chip
D Rossinelli, YH Tang, K Lykov, D Alexeev, M Bernaschi, P Hadjidoukas, ...
Proceedings of the International Conference for High Performance Computing …, 2015
12015
ICON NWP on GPUs
M Jacob, D Alexeev, R Dietlicher, V Cherkas, E Germann, F Gessler, ...
EMS2022, 2022
2022
Two-Element Keyboard-Block Model Of Megathrust Earthquakes Generation For Central Kurils
Y Gabsatarov, I Vladimirova, D Alexeev, L Lobkovsky
EGU General Assembly Conference Abstracts, EGU21-305, 2021
2021
Challenges of Running Global Climate Simulations at 2.8 km on GPU with the ICON Model
X Lapillonne, W Sawyer, R Dietlicher, L Kornblueh, S Rast, R Schnur, ...
AGU Fall Meeting Abstracts 2020, A022-12, 2020
2020
The role of the fault-block structure of the continental margin in the generation of the strongest subduction earthquakes
I Vladimirova, Y Gabsatarov, D Alexeev, L Lobkovsky
EGU2020, 2020
2020
High Performance Computing For Microfluidics On Graphics Processing Units
D Alexeev
ETH Zurich, 2019
2019
Towards the Virtual Rheometer: High Performance Computing for the Red Blood Cell Microstructure
A Economides, L Amoudruz, S Litvinov, D Alexeev, S Nizzero, ...
Proceedings of the Platform for Advanced Scientific Computing Conference, 1-13, 2017
2017
Abstract B04: From modeling to in vivo tracking: a new platform for the design of delivery vectors that exploit tumor microfluidics
S Nizzero, S Litvinov, D Alexeev, A Economides, ED Rosa, J Wolfram, ...
Cancer Research 77 (2_Supplement), B04-B04, 2017
2017
Blood pressure follower
G Novati, S Verma, D Alexeev
Supporting Information for “On the Kapitza Resistance Between Few-Layer Graphene and Water: Liquid Layering Effects”
D Alexeev, J Chen, JH Walther, KP Giapis, P Angelikopoulos, ...
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