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

114 citations · 410 across the 25 of their papers we have counts for

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5 papers · 1 filter

physics.comp-ph2022★ 2 cited

Quantum targeted energy transfer through machine learning tools

I. Andronis, G. Arapantonis, G. D. Barmparis +1

In quantum targeted energy transfer, bosons are transferred from a certain crystal site to an alternative one, utilizing a nonlinear resonance configuration similar to the classica…

physics.comp-ph2021

Dynamical symmetry breaking through AI: The dimer self-trapping transition

G. P. Tsironis, G. D. Barmparis, D. K. Campbell

The nonlinear dimer obtained through the nonlinear Schr{ö}dinger equation has been a workhorse for the discovery the role nonlinearity plays in strongly interacting systems. While…

physics.comp-ph2021★ 7 cited

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★ 20 cited

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…

physics.comp-ph2016★ 75 cited

Robust chimera states in SQUID metamaterials with local interactions

J. Hizanidis, N. Lazarides, G. P. Tsironis

We report on the emergence of robust multi-clustered chimera states in a dissipative-driven system of symmetrically and locally coupled identical SQUID oscillators. The "snake-like…