Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Kęstutis Staliunas"'
Autor:
Tania Moein, Darius Gailevičius, Tomas Katkus, Soon Hock Ng, Stefan Lundgaard, David J. Moss, Hamza Kurt, Vygantas Mizeikis, Kȩstutis Staliūnas, Mangirdas Malinauskas, Saulius Juodkazis
Publikováno v:
Nanomaterials, Vol 10, Iss 3, p 407 (2020)
A broadband graphene-on-Si3N4-membrane photodetector for the visible-IR spectral range is realised by simple lithography and deposition techniques. Photo-current is produced upon illumination due to presence of the build-in potential between dissimil
Externí odkaz:
https://doaj.org/article/6370ccf9b980465fb6d287b74255b264
Publikováno v:
Phys. Rev. A 101, 033833 (2020)
We provide a feasible and compact scheme to control and stabilize the spatiotemporal dynamics of BAS lasers. The proposal is based on the ability of non-Hermitian potentials with given local symmetries to manage the flow of light. A local PT-symmetri
Externí odkaz:
http://arxiv.org/abs/1906.09146
[EN] One of the key trends in laser material processing is the usage of structured laser beams. Collimated and focused Gaussian beams are the most common tools; however, more exotic beams can be beneficial too. For instance, Bessel beams with elongat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da1ca2bb8a685b198a31496675ce514e
https://hdl.handle.net/2117/384823
https://hdl.handle.net/2117/384823
Publikováno v:
APL Photonics, Vol 9, Iss 10, Pp 106115-106115-9 (2024)
We propose an efficient mode management scheme in active nonlinear multimode fibers based on non-Hermitian potentials in the longitudinal direction with an antisymmetric transverse profile. The proposal takes advantage of the nonlinear saturation tow
Externí odkaz:
https://doaj.org/article/2dc64b68c92444e8bd3c9cd0b32e891c
Publikováno v:
Communications Physics, Vol 6, Iss 1, Pp 1-9 (2023)
Machine learning has demonstrated effectiveness in optimizing complex physical structures. In this study, the authors employ a machine learning approach to inversely design non-Hermitian layered optical systems with gain and loss modulation, showing
Externí odkaz:
https://doaj.org/article/bcb6fd6a298243e48d513aa3301bfe53
Publikováno v:
Nanomaterials, Vol 14, Iss 1, p 49 (2023)
The goal and essential parameter of laser light conversion is achieving emitted radiation of higher brightness. For many applications, the laser beam must have the highest available beam quality and highest achievable power. However, lasers with high
Externí odkaz:
https://doaj.org/article/1956e672103f48868579c2293392e401
Autor:
Florent Bessin, Auro M. Perego, Kestutis Staliunas, Sergei K. Turitsyn, Alexandre Kudlinski, Matteo Conforti, Arnaud Mussot
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-6 (2019)
In normal dispersion, modulation instability, which is a precursor of Kerr combs, is forbidden due to phase mismatch. Here, the authors show the compensation of such phase mismatch by introducing frequency-dependent loss using a notch filter, hence l
Externí odkaz:
https://doaj.org/article/a1046ee1eaf2410688e9ab58120c5819
Publikováno v:
Nonlinear Analysis, Vol 26, Iss 3 (2021)
The task of identification of randomly scattered “bad” items in a fixed set of objects is a frequent one, and there are many ways to deal with it. “Group testing” (GT) refers to the testing strategy aiming to effectively replace the inspectio
Externí odkaz:
https://doaj.org/article/55018a9527a24da5835926f481f8bf48
The growth of regularity from disorder, the evolution from the simple towards the complex, and the spontaneous formation of spatio temporal patterns in general are questions which intrigue everybody. This has been one of the hasic philosophical topic
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
Abstract Light localization and intensity enhancement in a woodpile layer-by-layer photonic crystal, whose interlayer distance along the light propagation direction is gradually varied, has been theoretically predicted and experimentally demonstrated
Externí odkaz:
https://doaj.org/article/f1808e4ad3cb40738a0c85ce8c092c49