activity
20012026
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

collaborators

25 papers

physics.optics2026

Lossless propagation of gain-compensated graphene plasmons

Andrianos Sygrimis, Giorgos P. Tsironis

Graphene supports surface plasmon polaritons with extreme field confinement and electrical tunability, but these waves are typically short-lived due to ohmic loss in the sheet. We…

quant-ph2026

Searching for Quantum Effects in the Brain: A Bell-Type Test for Nonclassical Latent Representations in Autoencoders

I. K. Kominis, C. Xie, S. Li +2

Whether neural information processing is entirely classical or involves quantum-mechanical elements remains an open question. Here we propose a model-agnostic, information-theoreti…

physics.chem-ph2024

Targeted energy transfer dynamics and chemical reactions

N. Almazova, S. Aubry, G. P. Tsironis

Ultrafast reaction processes take place when resonant features of nonlinear model systems are taken into account. In the targeted energy or electron transfer dimer model this is ac…

nlin.PS2023★ 4 cited

T-wave Inversion through Inhomogeneous Voltage Diffusion within the FK3V Cardiac Model

E. Angelaki, N. Lazarides, G. D. Barmparis +3

The heart beats due to the synchronized contraction of cardiomyocytes triggered by a periodic sequence of electrical signals called action potentials, which originate in the sinoat…

quant-ph2023

Exploring Quantum Neural Networks for the Discovery and Implementation of Quantum Error-Correcting Codes

A. Chalkiadakis, M. Theocharakis, G. D. Barmparis +1

We investigate the use of Quantum Neural Networks for discovering and implementing quantum error-correcting codes. Our research showcases the efficacy of Quantum Neural Networks th…

nlin.PS2022

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.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…

cs.NE2021★ 7 cited

Analysis of chaotic dynamical systems with autoencoders

N. Almazova, G. D. Barmparis, G. P. Tsironis

We focus on chaotic dynamical systems and analyze their time series with the use of autoencoders, i.e., configurations of neural networks that map identical output to input. This a…

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…

q-bio.PE2020★ 114 cited

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…

nlin.PS2019★ 20 cited

Pattern formation and chimera states in 2D SQUID metamaterials

Johanne Hizanidis, Nikos Lazarides, Giorgos P. Tsironis

The Superconducting QUantum Interference Device (SQUID) is a highly nonlinear oscillator with rich dynamical behavior, including chaos. When driven by a time-periodic magnetic flux…

quant-ph2019★ 13 cited

Point interactions with bias potentials

A. V. Zolotaryuk, G. P. Tsironis, Y. Zolotaryuk

We develop an approach on how to define single-point interactions under the application of external fields. The essential feature relies on an asymptotic method based on the one-po…

nlin.PS2019★ 8 cited

Chimera states in networks of locally and non-locally coupled SQUIDs

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

Planar and linear arrays of SQUIDs (superconducting quantum interference devices), operate as nonlinear magnetic metamaterials in microwaves. Such {\em SQUID metamaterials} are par…

nlin.PS2019★ 8 cited

Controlled Generation of Chimera States in SQUID Metasurfaces using DC Flux Gradients

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

SQUID (Superconducting QUantum Interference Device) metamaterials, subject to a time-independent (dc) flux gradient and driven by a sinusoidal (ac) flux field, support chimera stat…

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…

nlin.CD2018★ 3 cited

Localized patterns in star networks of Class B lasers with optoelectronic feedback

Joniald Shena, Johanne Hizanidis, Nikos E. Kouvaris +1

We analyze how a star network topology shapes the dynamics of coupled CO\textsubscript{2} lasers with an intracavity electro-optic modulator that exhibit bistability. Such a networ…

nlin.CD2017★ 23 cited

Flux bias-controlled chaos and extreme multistability in SQUID oscillators

Johanne Hizanidis, Nikos Lazarides, George Tsironis

The radio frequency (rf) Superconducting QUantum Interference Device (SQUID) is a highly nonlinear oscillator exhibiting rich dynamical behavior. It has been studied for many years…

physics.optics2017

Graphene and active metamaterials: theoretical methods and physical properties

Marios Mattheakis, Giorgos P. Tsironis, Efthimios Kaxiras

The interaction of light with matter has triggered the interest of scientists for long time. The area of plasmonics emerges in this context through the interaction of light with va…

cond-mat.stat-mech2016

Resilience of symmetry against stochasticity in a gain-loss balanced oscillator

Mirko Luković, Patrick Navez, Giorgos P. Tsironis +1

We investigate the effects of dichotomous noise added to a classical harmonic oscillator in the form of stochastic time-dependent gain and loss states, whose durations are sampled…

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…

physics.optics2015

Resonant Combinatorial Frequency Generation Induced by a PT-symmetric Periodic Layered Stack

Oksana V. Shramkova, Giorgos P. Tsironis

The nonlinear interaction of waves in PT-symmetric periodic stacks with an embedded nonlinear anisotropic dielectric layer illuminated by plane waves of two tones is examined. The…

cond-mat.mes-hall2015★ 25 cited

Long-lived discrete breathers in free-standing graphene

Alberto Fraile, Emmanuel N. Koukaras, Konstantinos Papagelis +2

Intrinsic localized modes or discrete breathers are investigated by molecular dynamics simulations in free-standing graphene. Discrete breathers are generated either through therma…

physics.optics2014★ 9 cited

Small-world networks of optical fiber lattices

F. Perakis, M. Mattheakis, G. P. Tsironis

We use a simple dynamical model and explore coherent dynamics of wavepackets in complex networks of optical fibers. We start from a symmetric lattice and through the application of…