Aykut Argun
Title
Cited by
Cited by
Year
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
642016
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
482017
Digital video microscopy enhanced by deep learning
S Helgadottir, A Argun, G Volpe
Optica 6 (4), 506-513, 2019
392019
Quantitative digital microscopy with deep learning
B Midtvedt, S Helgadottir, A Argun, J Pineda, D Midtvedt, G Volpe
Applied Physics Reviews 8 (1), 011310, 2021
72021
Enhanced force-field calibration via machine learning
A Argun, T Thalheim, S Bo, F Cichos, G Volpe
Applied Physics Reviews 7 (4), 041404, 2020
62020
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
52016
Classification, inference and segmentation of anomalous diffusion with recurrent neural networks
A Argun, G Volpe, S Bo
Journal of Physics A: Mathematical and Theoretical, 2021
3*2021
Objective comparison of methods to decode anomalous diffusion
G Muñoz-Gil, G Volpe, MA Garcia-March, E Aghion, A Argun, CB Hong, ...
arXiv preprint arXiv:2105.06766, 2021
22021
Better stability with measurement errors
A Argun, G Volpe
Journal of Statistical Physics 163 (6), 1477-1485, 2016
22016
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Articles 1–9