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20182022
most citedEstimating the infection horizon of COVID-19 in eight countries with a data-driven approach

114 citations · 127 across the 3 of their papers we have counts for

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physics.comp-ph2021

Discovering nonlinear resonances through physics-informed machine learning

G. D. Barmparis, G. P. Tsironis

For an ensemble of nonlinear systems that model, for instance, molecules or photonic systems, we propose a method that finds efficiently the configuration that has prescribed trans…

physics.comp-ph2018

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…