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We present a hybrid graphene dielectric metasurface design to achieve strong tunable and modulated transmission at near-infrared (near-IR) frequencies. The proposed device is constituted by periodic pairs of asymmetric silicon nanobars…

Mesoscale and Nanoscale Physics · Physics 2015-09-07 Christos Argyropoulos

We propose an efficient inverse design approach for multifunctional optical elements based on adaptive deep diffractive neural networks (a-D$^2$NNs). Specifically, we introduce a-D$^2$NNs and design two-layer diffractive devices that can…

Optics · Physics 2022-06-08 Yuyao Chen , Yilin Zhu , Wesley A. Britton , Luca Dal Negro

For optical communication, information is converted between optical and electrical signal domains at a high rate. The devices to achieve such a conversion are various types of electro-optical modulators and photodetectors. These two types…

Optics · Physics 2015-06-18 Nathan Youngblood , Yoska Anugrah , Rui Ma , Steven J. Koester , Mo Li

Two-dimensional materials offering ultrafast photoresponse suffer from low intrinsic absorbance, especially in the mid-infrared wavelength range. Challenges in 2d material doping further complicate the creation of light-sensitive $p-n$…

Graphene is the first truly two-dimensional (2D) material, possessing a cone-like energy spectrum near the Fermi energy and treated as a gapless semiconductor. Its unique properties trigger researchers to find more applications of it, such…

Mesoscale and Nanoscale Physics · Physics 2022-06-23 Wei-Bang Li , Yu-Ming Wang , Hsien-Ching Chung , Ming-Fa Lin

Resonant dielectric nanoparticles (RDNs) made of materials with large positive dielectric permittivity, such as Si, GaP, GaAs, have become a powerful platform for modern light science, enabling various fascinating applications in…

Optics · Physics 2017-10-30 Alex Krasnok , Martin Caldarola , Nicolas Bonod , Andrea Alú

Graphene has emerged as an ultrafast photonic material for on-chip all-optical modulation. However, its atomic thickness limits its interaction with guided optical modes, which results in a high switching energy per bit or low modulation…

Optics · Physics 2022-03-29 Mohammed Alaloul , Jacob B. Khurgin

Nanophotonics has recently gained new momentum with the emergence of a novel class of nanophotonic systems consisting of resonant dielectric nanostructures integrated with single or few layers of transition metal dichalcogenides (2D-TMDs).…

We provide a novel new approach for aligning geometric models using a dual graph structure where local features are mapping probabilities. Alignment of non-rigid structures is one of the most challenging computer vision tasks due to the…

Computer Vision and Pattern Recognition · Computer Science 2021-12-15 Dvir Ginzburg , Dan Raviv

In this paper, we exploit the metagrating paradigm to achieve coherent control of absorption and reflection in a two-port device. Employing graphene ribbon as a tunable element allows us to, for the first time, realize a reconfigurable…

Optics · Physics 2020-11-11 Ensiye Ghorbanpour , Sahar Behroozinia , Ali Abdolali

We present the design for an absorbing metamaterial element with near unity absorbance. Our structure consists of two metamaterial resonators that couple separately to electric and magnetic fields so as to absorb all incident radiation…

Mesoscale and Nanoscale Physics · Physics 2009-11-13 N. I. Landy , S. Sajuyigbe , J. J. Mock , D. R. Smith , W. J. Padilla

Graphene and graphene-based materials exhibit exceptional optical and electrical properties with great promise for novel applications in light detection. However, several challenges prevent the full exploitation of these properties in…

Materials Science · Physics 2018-09-20 Adolfo De Sanctis , Jake D. Mehew , Monica F. Craciun , Saverio Russo

Nonlinear metamaterials with tailored mechanical properties have applications in engineering, medicine, robotics, and beyond. While modeling their macromechanical behavior is challenging in itself, finding structure parameters that lead to…

Graphics · Computer Science 2023-09-20 Yue Li , Stelian Coros , Bernhard Thomaszewski

In nanomechanical photothermal absorption spectroscopy and microscopy, the measured substance becomes a part of the detection system itself, inducing a nanomechanical resonance frequency shift upon thermal relaxation. Suspended,…

Instrumentation and Detectors · Physics 2023-06-30 Robert G. West , Kostas Kanellopulos , Silvan Schmid

Two-dimensional and layered materials, such as graphene, have emerged in recent years for their potential use in several applications in technology, for example in electronics, bioelectronics, optoelectronics and related fields.…

Materials Science · Physics 2020-07-10 Francesco Mercuri

Atomically thin two dimensional (2D) materials are promising candidates for miniaturized high-performance optoelectronic devices. Here, we report on multilayer MoTe2 photodetectors contacted with asymmetric electrodes based on n- and p-type…

Applied Physics · Physics 2019-04-09 Xia Wei , Faguang Yan , Quanshan Lv , Wenkai Zhu , Ce Hu , Amalia Patan`e , Kaiyou Wang

Integration of 2D materials in nanoelectromechanical systems (NEMS) marries the robustness of silicon-based materials with exceptional electrical controllability in 2D materials, drastically enhancing system performance which now is the key…

Mesoscale and Nanoscale Physics · Physics 2025-07-01 Mengqi Fu , Bojan Bošnjak , Zhan Shi , Jannik Dornseiff , Robert H. Blick , Elke Scheer , Fan Yang

Control over the optical properties of atomically thin two-dimensional (2D) layers, including those of transition metal dichalcogenides (TMDs), is needed for future optoelectronic applications. Remarkable advances have been achieved through…

A metamaterial composed of thin metallic strips as an efficient broadband absorber in the mid-infrared spectrum is investigated. Here the matching between dielectric and geometrical properties of the individual elements is critical to…

Optics · Physics 2022-05-24 Henrik Parsamyan , Hovhannes Haroyan , Khachatur Nerkararyan

Deep-learning recently show great success across disciplines yet conventionally require time-consuming computer processing or bulky-sized diffractive elements. Here we theoretically propose and experimentally demonstrate a purely-passive…

Neural and Evolutionary Computing · Computer Science 2021-01-27 Jingkai Weng , Yujiang Ding , Chengbo Hu , Xue-feng Zhu , Bin Liang , Jing Yang , Jianchun Cheng
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