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3D Garment modeling is a critical and challenging topic in the area of computer vision and graphics, with increasing attention focused on garment representation learning, garment reconstruction, and controllable garment manipulation,…

Computer Vision and Pattern Recognition · Computer Science 2022-11-15 Xipeng Chen , Guangrun Wang , Dizhong Zhu , Xiaodan Liang , Philip H. S. Torr , Liang Lin

Time-delay dynamical systems inherently embody infinite-dimensional dynamics, thereby amplifying their complexity. This aspect is especially notable in nonlinear dynamical systems, which frequently defy analytical solutions and necessitate…

Dynamical Systems · Mathematics 2025-05-20 Yuan Tang , Mingwu Li

Materials showing electromagnetic properties that are not attainable in naturally occurring media, the so called metamaterials, have been lately, and still are, among the most active fields in optical and materials physics and engineering.…

Over the last few decades, extensive previous studies of the nonlinear response of metal nanoparticles report a wide variation of nonlinear coefficients, thus, revealing a highly confused picture of the underlying physics. This naturally…

Optics · Physics 2020-10-28 Ieng Wai Un , Yoatan Sivan

Scattering scanning near-field optical microscopy (s-SNOM) is a powerful technique for mid-infrared spectroscopy at nanometer length scales. By investigating objects in aqueous environments through ultrathin membranes, s-SNOM has recently…

Multilayer metasurfaces (MLMs) represent a versatile type of three-dimensional optical metamaterials that could enable ultra-thin and multi-functional photonic components. Herein we demonstrate an approach to readily fabricate MLMs…

Optics · Physics 2019-09-17 Esteban Bermúdez-Ureña , Ullrich Steiner

As characteristic lengths in plasmonics rapidly approach the sub-nm regime, quantum-informed models that can capture those aspects of the quantum nature of the electron gas that are not accessible by the standard approximations of classical…

Mesoscale and Nanoscale Physics · Physics 2018-12-20 Christos Tserkezis , A. T. Mina Yeşilyurt , Jer-Shing Huang , N. Asger Mortensen

In this paper, we present a deep learning-based (DL-based) algorithm, as a purely mathematical platform, for providing intuitive understanding of the properties of electromagnetic (EM) wave-matter interaction in nanostructures. This…

Surface plasmon resonances of metallic nanostructures offer great opportunities to guide and manipulate light on the nanoscale. In the design of novel plasmonic devices, a central topic is to clarify the intricate relationship between the…

Optics · Physics 2019-09-11 Sanghyeon Yu , Habib Ammari

In the field of monocular depth estimation (MDE), many models with excellent zero-shot performance in general scenes emerge recently. However, these methods often fail in predicting non-Lambertian surfaces, such as transparent or mirror…

Computer Vision and Pattern Recognition · Computer Science 2024-08-13 Junrui Zhang , Jiaqi Li , Yachuan Huang , Yiran Wang , Jinghong Zheng , Liao Shen , Zhiguo Cao

We demonstrate an experimental method to separately test the optical response of a single sub-wavelength nano-structure to tailored electric and magnetic field distributions in the optical domain. For this purpose a highly focused…

Optics · Physics 2015-05-18 P. Banzer , U. Peschel , S. Quabis , G. Leuchs

Immense field enhancement and nanoscale confinement of light are possible within nanoparticle-on-mirror (NPoM) plasmonic resonators, which enable novel optically-activated physical and chemical phenomena, and render these nanocavities…

Recently, nonlinear hybrid metasurface comes into an attractive new concept in the research of nanophotonics and nanotechnology. It is composed of semiconductors with an intrinsically large nonlinear susceptibility and traditional plasmonic…

Optics · Physics 2018-03-14 Jiawei Chen , Kai Wang , Hua Long , Xiaobo Han , Hongbo Hu , Weiwei Liu , Bing Wang , Peixiang Lu

Nonlocal and quantum mechanical phenomena in noble metal nanostructures become increasingly crucial when the relevant length scales in hybrid nanostructures reach the few-nanometer regime. In practice, such mesoscopic effects at…

Mesoscale and Nanoscale Physics · Physics 2024-07-11 Mikkel Have Eriksen , Christos Tserkezis , N. Asger Mortensen , Joel D. Cox

Conventional lithography methods involving pattern transfer through resist templating face challenges of material compatibility with various process solvents. Other approaches of direct material writing often compromise pattern complexity…

Materials Science · Physics 2024-07-19 Shuangshuang Zeng , Tian Tian , Jiwoo Oh , Chih-Jen Shih

We performed closed-loop lab testing of large-format deformable mirrors (DMs) with hybrid variable reluctance actuators. TNO has been developing the hybrid variable reluctance actuators in support for a new generation of adaptive secondary…

Instrumentation and Methods for Astrophysics · Physics 2024-07-17 Ruihan Zhang , Max Baeten , Mark R. Chun , Ellen Lee , Michael Connelley , Olivier Lai , Stefan Kuiper , Alan Ryan , Arjo Bos , Rachel Bowens-Rubin , Philip M. Hinz

Statistical shape modeling (SSM) is a powerful computational framework for quantifying and analyzing the geometric variability of anatomical structures, facilitating advancements in medical research, diagnostics, and treatment planning.…

Computer Vision and Pattern Recognition · Computer Science 2024-05-24 Krithika Iyer , Jadie Adams , Shireen Y. Elhabian

We investigate how the near-field enhancement of self-similar nanolenses, made of three plasmonic nanospheres with decreasing sizes and separations, is affected by quantum corrections in the optical response of the metal, and by fabrication…

Mesoscale and Nanoscale Physics · Physics 2025-02-21 Nikolaos Kyvelos , N. Asger Mortensen , Xuezhi Zheng , Christos Tserkezis

Image diffusion plays a fundamental role for the task of image denoising. Recently proposed trainable nonlinear reaction diffusion (TNRD) model defines a simple but very effective framework for image denoising. However, as the TNRD model is…

Computer Vision and Pattern Recognition · Computer Science 2017-02-27 Peng Qiao , Yong Dou , Wensen Feng , Yunjin Chen

Spatial self-phase modulation (SSPM) is the optical nonlinear process and is a result of spatially varying refractive index profile along the line of propagation in a medium. SSPM is proved to be a method to demonstrate different photonic…