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Multimode hollow microcavities in three-dimensional (3D) photonic crystals (PhCs) are designed for achieving enhanced coherent anti-Stokes Raman scattering, which requires a cavity to have three high quality-factor (Q) modes with equally…

Optics · Physics 2010-07-08 Jing Ouyang , Minghao Qi

In many applications of computer vision it is important to accurately estimate the trajectory of an object over time by fusing data from a number of sources, of which 2D and 3D imagery is only one. In this paper, we show how to use a deep…

Computer Vision and Pattern Recognition · Computer Science 2021-12-06 Fan Jiang , Andrew Marmon , Ildebrando De Courten , Marc Rasi , Frank Dellaert

Accurate 3D geometry acquisition is essential for a wide range of applications, such as computer graphics, autonomous driving, robotics, and augmented reality. However, raw point clouds acquired in real-world environments are often…

Graphics · Computer Science 2025-08-26 Jinxi Wang , Ben Fei , Dasith de Silva Edirimuni , Zheng Liu , Ying He , Xuequan Lu

Although Deep Convolutional Neural Networks (CNNs) have liberated their power in various computer vision tasks, the most important components of CNN, convolutional layers and fully connected layers, are still limited to linear…

Computer Vision and Pattern Recognition · Computer Science 2017-09-05 Yanghao Li , Naiyan Wang , Jiaying Liu , Xiaodi Hou

Deep neural networks (DNNs) are successful in many computer vision tasks. However, the most accurate DNNs require millions of parameters and operations, making them energy, computation and memory intensive. This impedes the deployment of…

Computer Vision and Pattern Recognition · Computer Science 2020-03-26 Abhinav Goel , Caleb Tung , Yung-Hsiang Lu , George K. Thiruvathukal

In this paper, by cascading several bichromatic photonic crystals we demonstrate that the quality factor can be much larger compared with that in an isolated cavity without increasing the total size of the device. We take lithium niobate…

We construct and evaluate group-equivariant neural networks for the prediction of the two-dimensional $Q$-tensor order parameter of nematic liquid crystals from synthetically generated microscopic textures. Seven architectures, equivariant…

Soft Condensed Matter · Physics 2026-05-28 Julia Navarro , Mark Wilkinson

Defect centers in diamond are promising building blocks for quantum networks thanks to a long-lived spin state and bright spin-photon interface. However, their low fraction of emission into a desired optical mode limits the entangling…

Quantum Physics · Physics 2018-11-27 Suzanne B. van Dam , Maximilian Ruf , Ronald Hanson

Room-temperature (RT), on-chip deterministic generation of indistinguishable photons coupled to photonic integrated circuits is key for quantum photonic applications. Nevertheless, high indistinguishability (I) at RT is difficult to obtain…

Quantum Physics · Physics 2022-04-12 J. Guimbao , L. Sanchis , L. M. Weituschat , J. M. Llorens , M. Song , J. Cardenas , P. A. Postigo

Diffractively coupled nanoparticle arrays are promising candidates for helping to flatten many photonic devices such as lasers, lenses, and metrology instruments. Their performance, however, is directly linked with the size of the…

Optics · Physics 2024-06-27 Jussi Kelavuori , Ali Panahpour , Mikko J. Huttunen

The evanescent coupling from a photonic crystal resonator to a micron-thick optical fiber is investigated in detail by using a 3D-FDTD method. Properly designed photonic crystal cavity and taper structures are proposed, and optimal…

Optics · Physics 2009-11-11 In-Kag Hwang , Guk-Hyun Kim , Yong-Hee Lee

Recently, deep clustering, which is able to perform feature learning that favors clustering tasks via deep neural networks, has achieved remarkable performance in image clustering applications. However, the existing deep clustering…

Machine Learning · Computer Science 2018-12-12 Yazhou Ren , Ni Wang , Mingxia Li , Zenglin Xu

We present a comprehensive study of internal quality factors in superconducting stub-geometry 3-dimensional cavities made of aluminum. We use wet etching, annealing and electrochemichal polishing to improve the as machined quality factor.…

Applied Physics · Physics 2020-10-16 M. Kudra , J. Biznárová , F. Roudsari , J. J. Burnett , D. Niepce , S. Gasparinetti , B. Wickman , P. Delsing

We design high quality factor photonic crystal nanobeam cavities formed by two mechanically isolated cantilevers. These "split-beam" cavities have a physical gap at the center, allowing mechanical excitations of one or both of the cavity…

Optics · Physics 2015-06-12 Aaron C. Hryciw , Paul E. Barclay

Defect cavities in 3D photonic crystal can trap and store light in the smallest volumes allowable in dielectric materials, enhancing non-linearities and cavity QED effects. Here, we study inverse rod-connected diamond (RCD) crystals…

We present the optical and mechanical design of a mechanically compliant quasi-two-dimensional photonic crystal cavity formed from thin-film silicon in which a pair of linear nanoscale slots are used to create two coupled high-$Q$ optical…

Optics · Physics 2016-09-21 Mahmoud Kalaee , Taofiq K. Paraiso , Hannes Pfeifer , Oskar Painter

The design of periodic nanostructures allows to tailor the transport of photons, phonons, and matter waves for specific applications. Recent years have seen a further expansion of this field by engineering topological properties. However,…

Mesoscale and Nanoscale Physics · Physics 2021-06-16 Vittorio Peano , Florian Sapper , Florian Marquardt

We report a numerical design procedure for pursuing a near-unity coupling efficiency in quantum dot-cavity ridge waveguide single-photon sources by performing simulations with the finite element method. Our optimum design which is based on…

Optics · Physics 2022-12-21 Yujing Wang , Luca Vannucci , Sven Burger , Niels Gregersen

One-dimensional photonic crystal (1D-PhC) pillar cavities allow transducing mechanical pillar vibrations to the optical domain, thereby relaxing the requirements typically associated with mechanical motion detection. In this study, we…

Designing complex physical systems, including photonic structures, is typically a tedious trial-and-error process that requires extensive simulations with iterative sweeps in multi-dimensional parameter space. To circumvent this…

Optics · Physics 2019-02-08 Zhaocheng Liu , Lakshmi Raju , Dayu Zhu , Wenshan Cai