Results 71 to 80 of about 13,320 (259)

Plasmons in dimensionally mismatched Coulomb coupled graphene systems [PDF]

, 2017
We calculate the plasmon dispersion relation for Coulomb coupled metallic armchair graphene nanoribbons and doped monolayer graphene. The crossing of the plasmon curves, which occurs for uncoupled 1D and 2D systems, is split by the interlayer Coulomb ...
Badalyan, S. M., Jauho, A. P., Shylau, A. A.   +2 more
core   +2 more sources

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Temporal quantum control with graphene

New Journal of Physics, 2012
We introduce a novel strategy for controlling the temporal evolution of a quantum system at the nanoscale. Our method relies on the use of graphene plasmons, which can be electrically tuned in frequency by external gates. Quantum emitters (e.g.
A Manjavacas, S Thongrattanasiri, D E Chang, F J García de Abajo   +3 more
doaj   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Graphene-Based Plasmonics

, 2015
Chapter 11 The unique electrical, optical, and chemical properties of the two-dimensional crystal of carbon, graphene, stimulated great interest for plasmonics in reduced dimensions. Notably, controlled electrostatic doping on graphene opens new perspectives for gate-tunable active plasmonics.
Balci S., Polat E.O., Kocabas C.
openaire   +3 more sources

Unidirectional surface plasmons in nonreciprocal graphene

New Journal of Physics, 2013
We demonstrate theoretically the existence of unidirectional surface plasmons in the nonreciprocal graphene-based gyrotropic interfaces. We show that a unidirectional frequency range is raised under a static external magnetic field where only one ...
Xiao Lin, Yang Xu, Baile Zhang, Ran Hao, Hongsheng Chen, Erping Li   +5 more
doaj   +1 more source

Semiempirical modeling of the effects of the intrinsic and extrinsic optical phonons on the performance of the graphene-based devices

Scientific Reports, 2022
Surface plasmons in graphene have mainly been affected by intrinsic optical phonons due to the vibrations of the carbon atoms and surface polar optical phonons (S-POPs) of the underlying dielectric surface. This plasmon hybridization dramatically changes
Sharare Jalalvandi, Sara Darbari, Mohammad Kazem Moravvej-Farshi   +2 more
doaj   +1 more source

Plasmon-phonon coupling in large-area graphene dot and antidot arrays

, 2013
Nanostructured graphene on SiO2 substrates pave the way for enhanced light-matter interactions and explorations of strong plasmon-phonon hybridization in the mid-infrared regime.
Allen S., Batke E., Brar V. W., Chen J., Chitara B., Cong C. X., Daas B. K., Das A., Eckmann A., Fang Z., Fang Z., Fei Z., Fei Z., Ferrari A. C., Fratini S., Hwang E. H., Hwang E. H., Jablan M., Jian Zi, Johnson J. L., Ju L., Koch R. J., Koppens F. H. L., Korobkin D., Li X., Li Y., Liu Y., Lu W. B., Maier S. A., Martin B. Larsen, Matz R., N. Asger Mortensen, Ni Z., Nikitin A. Y., Ouyang F., Pedersen T. G., Peter Bøggild, Sanshui Xiao, Segalman R., Shi Z., Sun J., Thomas Garm Pedersen, Thongrattanasiri S., Vakil A., Wang W., Wei Yan, Weihua Wang, Wunsch B., Xiaolong Zhu, Yan H., Yan H., Yan H., Zhan T. R., Zhou Y., Zhu X., Zhu X., Zhu X., Zhu Y.   +57 more
core   +1 more source

Collective excitations on a surface of topological insulator [PDF]

, 2011
We study collective excitations in a helical electron liquid on a surface of three-dimensional topological insulator. Electron in helical liquid obeys Dirac-like equation for massless particless and direction of its spin is strictly determined by its ...
Efimkin, D. K., Lozovik, Yu. E., Sokolik, A. A.   +2 more
core   +3 more sources

Rational Design of Printable Carbon Nanotube Transparent Conductive Films via Data‐Driven and Mechanistic Insights

Advanced Functional Materials, EarlyView.
A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou, Ken‐ichi Nomura, Shun Muroga, Makoto Yoneya, Don N. Futaba, Takeo Yamada, Reiko Azumi, Kenji Hata   +7 more
wiley   +1 more source