Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Giorgos P. Tsironis"'
Publikováno v:
Entropy, Vol 26, Iss 9, p 753 (2024)
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 accomplished through the implementation of nonlinear oscillators with op
Externí odkaz:
https://doaj.org/article/95a1f7868b834e2d9efff961894b713f
Autor:
George J. Tserevelakis, Michalis Pavlidis, Athanasios Samaras, Georgios D. Barmparis, Kostas G. Mavrakis, Ioannis Draganidis, Athanasios Oikonomou, Eleftheria Fanouraki, Giorgos P. Tsironis, Giannis Zacharakis
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Lower vertebrates, including fish, can rapidly alter skin lightness through changes in melanin concentration and melanosomes’ mobility according to various factors, which include background color, light intensity, ambient temperature, soci
Externí odkaz:
https://doaj.org/article/bd9e97de2ff443379582557c5c076f6e
Autor:
Eleni Angelaki, Maria E. Marketou, Georgios D. Barmparis, Alexandros Patrianakos, Panos E. Vardas, Fragiskos Parthenakis, Giorgos P. Tsironis
Publikováno v:
The Journal of Clinical Hypertension, Vol 23, Iss 5, Pp 935-945 (2021)
Abstract Cardiac remodeling is recognized as an important aspect of cardiovascular disease (CVD) progression. Machine learning (ML) techniques were applied to basic clinical parameters and electrocardiographic features, in order to detect abnormal le
Externí odkaz:
https://doaj.org/article/33c8dc961ffe4832b62daa976bcd3fbf
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 5 (2019)
Planar and linear arrays of SQUIDs (superconducting quantum interference devices) operate as non-linear magnetic metamaterials in microwaves. Such SQUID metamaterials are paradigmatic systems that serve as a test-bed for simulating several non-linear
Externí odkaz:
https://doaj.org/article/4dba99c2d24541889b57d2afa2ea19ec
Publikováno v:
Frontiers in Physics, Vol 7 (2019)
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-point approximation of multi-layered heterostructures that are subject t
Externí odkaz:
https://doaj.org/article/a944ec74e3144cc7a422f6a4c6cc578a
Autor:
George Neofotistos, Marios Mattheakis, Georgios D. Barmparis, Johanne Hizanidis, Giorgos P. Tsironis, Efthimios Kaxiras
Publikováno v:
Frontiers in Physics, Vol 7 (2019)
Chimeras and branching are two archetypical complex phenomena that appear in many physical systems; because of their different intrinsic dynamics, they delineate opposite non-trivial limits in the complexity of wave motion and present severe challeng
Externí odkaz:
https://doaj.org/article/88ad2d1ad7fa4e8d8fb4a60dbe2a45b7
Autor:
George J. Tserevelakis, Georgios D. Barmparis, Nikolaos Kokosalis, Eirini Smaro Giosa, Anastasios Pavlopoulos, Giorgos P. Tsironis, Giannis Zacharakis
Publikováno v:
Optics Letters. 48:2720
Frequency-domain photoacoustic microscopy (FD-PAM) constitutes a powerful cost-efficient imaging method integrating intensity-modulated laser beams for the excitation of single-frequency photoacoustic waves. Nevertheless, FD-PAM provides an extremely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11263dbbb86860712448c1e32f490230
https://doi.org/10.1364/ol.486624
https://doi.org/10.1364/ol.486624
Publikováno v:
Chaos (Woodbury, N.Y.). 31(10)
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 analysis results in the determination of the latent space dimension of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f30c310fa8639dac60185993de8d6740
https://pubmed.ncbi.nlm.nih.gov/34717343
https://pubmed.ncbi.nlm.nih.gov/34717343
Autor:
M. Marketou, A.P. Patrianakos, Panagiotis Vardas, Georgios D. Barmparis, George E. Kochiadakis, Giorgos P. Tsironis, E Aggelaki, Frangiskos I. Parthenakis
Publikováno v:
European Heart Journal. 42
Background Cardiac remodeling, an important aspect of cardiovascular disease (CVD) progression, is emerging as a significant therapeutic target. However, the ECG is not a sensitive method of detecting left ventricular hypertrophy (LVH), and as far as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4704db08ee891842a2c1bb2b1835e9cc
https://doi.org/10.1093/eurheartj/ehab724.2386
https://doi.org/10.1093/eurheartj/ehab724.2386
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 transfer properties. Specifically, we use physics-informed machine learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b65d4d159298d5390ff7a74b4564a5a
http://arxiv.org/abs/2104.13471
http://arxiv.org/abs/2104.13471
