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Aykut Argun
Aykut Argun
Perception Expert at Kognic AB
Verified email at kognic.com
Title
Cited by
Cited by
Year
Objective comparison of methods to decode anomalous diffusion
G Muñoz-Gil, G Volpe, MA Garcia-March, E Aghion, A Argun, CB Hong, ...
Nature communications 12 (1), 6253, 2021
1382021
Quantitative digital microscopy with deep learning
B Midtvedt, S Helgadottir, A Argun, J Pineda, D Midtvedt, G Volpe
Applied Physics Reviews 8 (1), 2021
1002021
Digital video microscopy enhanced by deep learning
S Helgadottir, A Argun, G Volpe
Optica 6 (4), 506-513, 2019
952019
Experimental realization of a minimal microscopic heat engine
A Argun, J Soni, L Dabelow, S Bo, G Pesce, R Eichhorn, G Volpe
Physical Review E 96 (5), 052106, 2017
952017
Non-Boltzmann stationary distributions and nonequilibrium relations in active baths
A Argun, AR Moradi, E Pinçe, GB Bagci, A Imparato, G Volpe
Physical Review E 94 (6), 062150, 2016
85*2016
Roadmap for optical tweezers
G Volpe, OM Maragò, H Rubinsztein-Dunlop, G Pesce, AB Stilgoe, ...
Journal of Physics: Photonics 5 (2), 022501, 2023
612023
Classification, inference and segmentation of anomalous diffusion with recurrent neural networks
A Argun, G Volpe, S Bo
Journal of Physics A: Mathematical and Theoretical 54 (29), 294003, 2021
412021
Enhanced force-field calibration via machine learning
A Argun, T Thalheim, S Bo, F Cichos, G Volpe
Applied Physics Reviews 7 (4), 2020
272020
Simulation of Complex Systems
A Argun, A Callegari, G Volpe
IOP Publishing, 2021
172021
Experimental evidence of the failure of Jarzynski equality in active baths
A Argun, AR Moradi, E Pince, GB Bagci, G Volpe
arXiv preprint arXiv:1601.01123, 2016
62016
Better stability with measurement errors
A Argun, G Volpe
Journal of Statistical Physics 163, 1477-1485, 2016
42016
Playing with active matter
AB Balda, A Argun, A Callegari, G Volpe
arXiv preprint arXiv:2209.04168, 2022
32022
Destructive effect of fluctuations on the performance of a Brownian gyrator
P Viot, A Argun, G Volpe, A Imparato, L Rondoni, G Oshanin
Soft Matter, 2024
12024
Roadmap on Deep Learning for Microscopy
G Volpe, C Wählby, L Tian, M Hecht, A Yakimovich, K Monakhova, ...
ArXiv, 2023
2023
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