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January

	Discovering nonlinear resonances through physics-informed machine learning G. D. Barmparis and G. P. Tsironis, use physics-informed machine learning (PIML) techniques to find the parameters for the efficient transfer of an electron (or photon) to a targeted state in a nonlinear dimer. Continue reading...
	Detection of abnormal left ventricular geometry in patients without cardiovascular disease through machine learning: An ECG‐based approach. E. Angelaki, M. E. Marketou, G. D. Barmparis, A. Patrianakos, P. E. Vardas, F. Parthenakis, and G. P. Tsironis apply Machine Learning techniques to basic clinical parameters and electrocardiographic features in order to detect abnormal left ventricular geometry even before the onset of left ventricular hypertrophy, in a population without established CVD. Continue reading...
	Estimating the infection horizon of COVID-19 in eight countries with a data-driven approach G.D. Barmparis and G.P. Tsironis estimate the infection horizon of COVID-19 in eight countries and predict successfully both the expected number of daily infections per country and the duration of the epidemic in each country. Continue reading...
	Holographic Competition of Phases and Superconductivity QCN members E. Kiritsis and Li Li, has used holographic techniques to model and study the competition of four phases. Continue reading...
	Chimeras in SQUID Metamaterials In recent a article of QCN researchers in Physical Review B, the mythological beast chimera appears on the title of the paper. Continue reading...
	Generic ferroelectric ground state in underdoped La-214 cuprates QCN researchers have performed extensive measurements of the electric polarization on Sr and Li doped La₂CuO₄ single crystals. It is shown that La_1.999Sr_0.001CuO₄ exhibits distinct ferroelectric behavior along different crystallographic directions. Continue reading...
	Ultrafast observation of critical nematic fluctuations and giant magnetoelastic coupling in iron pnictides CCQCN member Prof. I. Perakis in collaboration with a group of researchers, published a significant article in Nature Communications, entitled "Ultrafast observation of critical nematic fluctuations and giant magnetoelastic coupling in iron pnictides" Continue reading...

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Colloquium Jan 13 - Apostolopoulos

Nanotechnology in the battle for air quality improvement

TCM group has successfully realized the synthesis of innovative photocatalytic material.

Discrete breather in a graphene monolayer in two dimensions

The simulation is carried out in NPT ensemble using the Nose-Hoover thermostat and a Tersoff interatomic potential for the carbon-carbon interaction (by Dr. A. Fraile).