The paper entitled ‘Single trajectory characterization via machine learning’ co-authored by IDAL member José D. Martín-Guerrero has been selected by the publisher as one the top five published in 2020 according to its quality, interest awakaned in readers, downloads and citations. The paper proposes a Machine Learning approach to accurately characterize single trajectories in diffusion mechanisms. The research was carried out in collaboration with the Research Institute for Photonic Sciences, ICFO.
