114 citations · 114 across the 3 of their papers we have counts for
4 papers
Identifying Discrete Breathers Using Convolutional Neural Networks
T. Dogkas, M. Eleftheriou, G. D. Barmparis +1
Artificial intelligence in the form of deep learning is now very popular and directly implemented in many areas of science and technology. In the present work we study time evoluti…
Physics-informed machine learning for the COVID-19 pandemic: Adherence to social distancing and short-term predictions for eight countries
G. D. Barmparis, G. P. Tsironis
The spread of COVID-19 during the initial phase of the first half of 2020 was curtailed to a larger or lesser extent through measures of social distancing imposed by most countries…
Estimating the infection horizon of COVID-19 in eight countries with a data-driven approach
G. D. Barmparis, G. P. Tsironis
The COVID-19 pandemic has affected all countries of the world producing a substantial number of fatalities accompanied by a major disruption in their social, financial, and educati…
Machine learning with observers predicts complex spatiotemporal behavior
G. Neofotistos, M. Mattheakis, G. D. Barmparis +3
Chimeras and branching are two archetypical complex phenomena that appear in many physical systems; because of their different intrinsic dynamics, they delineate opposite non-trivi…