Zobrazeno 1 - 10
of 312
pro vyhledávání: '"Fratalocchi Andrea"'
Publikováno v:
Nanophotonics, Vol 11, Iss 11, Pp 2483-2505 (2021)
Nanophotonics inverse design is a rapidly expanding research field whose goal is to focus users on defining complex, high-level optical functionalities while leveraging machines to search for the required material and geometry configurations in sub-w
Externí odkaz:
https://doaj.org/article/f609d058c7ec45ab846fb8dcd86c1ae0
Publikováno v:
Nanophotonics, Vol 10, Iss 17, Pp 4171-4173 (2021)
Externí odkaz:
https://doaj.org/article/5ca0a46aa004444cbf19bdca5d789b02
Publikováno v:
Nanophotonics, Vol 10, Iss 1, Pp 457-464 (2020)
Physical unclonable functions (PUFs) are complex physical objects that aim at overcoming the vulnerabilities of traditional cryptographic keys, promising a robust class of security primitives for different applications. Optical PUFs present advantage
Externí odkaz:
https://doaj.org/article/8d40ce4b4961443b99bfad5fffaa88da
Publikováno v:
Nanophotonics, Vol 8, Iss 5, Pp 725-745 (2019)
Nonradiating sources of energy have traditionally been studied in quantum mechanics and astrophysics but have received very little attention in the photonics community. This situation has changed recently due to a number of pioneering theoretical stu
Externí odkaz:
https://doaj.org/article/4ee38cf7c2ae44faafca6872ee9470ae
Quantum artificial intelligence is a frontier of artificial intelligence research, pioneering quantum AI-powered circuits to address problems beyond the reach of deep learning with classical architectures. This work implements a large-scale quantum-a
Externí odkaz:
http://arxiv.org/abs/2403.14188
Autor:
Makarenko, Maksim, Wang, Qizhou, Burguete-Lopez, Arturo, Giancola, Silvio, Ghanem, Bernard, Passone, Luca, Fratalocchi, Andrea
Foundation models, exemplified by GPT technology, are discovering new horizons in artificial intelligence by executing tasks beyond their designers' expectations. While the present generation provides fundamental advances in understanding language an
Externí odkaz:
http://arxiv.org/abs/2312.10639
Autor:
Barkey, Martin, Büchner, Rebecca, Wester, Alwin, Pritzl, Stefanie D., Makarenko, Maksim, Wang, Qizhou, Weber, Thomas, Trauner, Dirk, Maier, Stefan A., Fratalocchi, Andrea, Lohmüller, Theobald, Tittl, Andreas
Nanophotonic devices excel at confining light into intense hot spots of the electromagnetic near fields, creating unprecedented opportunities for light-matter coupling and surface-enhanced sensing. Recently, all-dielectric metasurfaces with ultrashar
Externí odkaz:
http://arxiv.org/abs/2308.15644
Autor:
Makarenko, Maksim, Burguete-Lopez, Arturo, Wang, Qizhou, Getman, Fedor, Giancola, Silvio, Ghanem, Bernard, Fratalocchi, Andrea
Hyperspectral imaging has attracted significant attention to identify spectral signatures for image classification and automated pattern recognition in computer vision. State-of-the-art implementations of snapshot hyperspectral imaging rely on bulky,
Externí odkaz:
http://arxiv.org/abs/2204.02084
Autor:
Li, HuangJingWei, Liu, Kang, Fu, Junwei, Chen, Kejun, Yang, Kexin, Lin, Yiyang, Yang, Baopeng, Wang, Qiyou, Pan, Hao, Cai, Zhoujun, Li, Hongmei, Cao, Maoqi, Hu, Junhua, Lu, Ying-Rui, Chan, Ting-Shan, Cortés, Emiliano, Fratalocchi, Andrea, Liu, Min
Publikováno v:
Nano Energy 82 (2021) 105767
Electrocatalytic hydrogen evolution reaction (HER) in alkaline media is a promising electrochemical energy conversion strategy. Ruthenium (Ru) is an efficient catalyst with a desirable cost for HER, however, the sluggish H2O dissociation process, due
Externí odkaz:
http://arxiv.org/abs/2108.13292
Integrating conventional optics into compact nanostructured surfaces is the goal of flat optics. Despite the enormous progress of this technology, there are still critical challenges for real world applications due to a limited efficiency in the visi
Externí odkaz:
http://arxiv.org/abs/2005.01954