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Atom specific valence electronic structures at interface are elucidated successfully using soft x-ray absorption and emission spectroscopy. In order to demonstrate the versatility of this method, we investigated SiO2/Si interface as a…

Understanding how neural representations respond to geometric transformations is essential for evaluating whether learned features preserve meaningful spatial structure. Existing approaches primarily assess robustness primarily by comparing…

Machine Learning · Computer Science 2026-05-12 Huahua Lin , Katayoun Farrahi , Xiaohao Cai

Sensing capability is one of the most highlighted new feature of future 6G wireless networks. This paper addresses the sensing potential of Large Intelligent Surfaces (LIS) in an exemplary Industry 4.0 scenario. Besides the attention…

Signal Processing · Electrical Eng. & Systems 2021-04-14 Cristian J. Vaca-Rubio , Pablo Ramirez-Espinosa , Kimmo Kansanen , Zheng-Hua Tan , Elisabeth de Carvalho , Petar Popovski

We propose and investigate an "interface-flattening" transformation, hinging upon Transformation Optics (T.O.) techniques, to facilitate the rigorous analysis of electromagnetic (EM) fields radiated by sources embedded in tilted,…

Computational Physics · Physics 2016-02-17 Kamalesh Sainath , Fernando L. Teixeira

Driven quantum materials with on demand properties controlled by external stimuli are critical for emergent quantum technology. In optically tunable superconducting heterostructures, the lattice responses at the buried interface may hold…

We present HELIOS (HomogEneous and Layered medIa Optical Scattering), an open-source surface integral equation (SIE) software designed for modeling light scattering by particles embedded in homogeneous or layered media and periodic…

Optics · Physics 2026-02-27 Parmenion S. Mavrikakis , Olivier J. F. Martin

LISA is a proposed low resolution (R~15-30) imaging spectrometer for SOFIA, the American-German Stratospheric Observatory for Far Infrared Astronomy. Covering the wavelength range from 40micron to 220micron with three channels, LISA…

Astrophysics · Physics 2007-05-23 Alfred Krabbe , Juergen Wolf

Most of existing manifold learning methods rely on Mean Squared Error (MSE) or $\ell_2$ norm. However, for the problem of image quality assessment, these are not promising measure. In this paper, we introduce the concept of an image…

Machine Learning · Statistics 2019-08-27 Benyamin Ghojogh , Fakhri Karray , Mark Crowley

Pixel-based reconfigurable intelligent surfaces (RISs) employ a novel design to achieve high reflection gain at a lower hardware cost by eliminating the phase shifters used in traditional RIS. However, this design presents challenges for…

Signal Processing · Electrical Eng. & Systems 2025-10-24 Huayan Guo , Junhui Rao , Alex M. H. Wong , Ross Murch , Vincent K. N. Lau

LaCrO$_3$ (LCO) / SrTiO$_3$ (STO) heterojunctions are intriguing due to a polar discontinuity along (001), two distinct and controllable interface structures [(LaO)$^+$/(TiO$_2$)$^0$ and (SrO)$^0$/(CrO$_2$)$^-$], and interface-induced…

Graphene films prepared by heating the SiC(000-1) surface (the C-face of the {0001} surfaces) in a Si-rich environment are studied using low-energy electron diffraction (LEED) and low-energy electron microscopy (LEEM). Upon graphitization,…

Mesoscale and Nanoscale Physics · Physics 2015-09-16 Guowei He , N. Srivastava , R. M. Feenstra

Edge-preserving image smoothing is a fundamental procedure for many computer vision and graphic applications. There is a tradeoff between the smoothing quality and the processing speed: the high smoothing quality usually requires a high…

Graphics · Computer Science 2020-05-19 Wei Liu , Pingping Zhang , Xiaolin Huang , Jie Yang , Chunhua Shen , Ian Reid

We explore two differentiable deep declarative layers, namely least squares on sphere (LESS) and implicit eigen decomposition (IED), for learning the principal matrix features (PMaF). It can be used to represent data features with a…

Machine Learning · Computer Science 2023-07-04 Zhiwei Xu , Hao Wang , Yanbin Liu , Stephen Gould

Detecting spliced images is one of the emerging challenges in computer vision. Unlike prior methods that focus on detecting low-level artifacts generated during the manipulation process, we use an image retrieval approach to tackle this…

Computer Vision and Pattern Recognition · Computer Science 2021-04-29 Bor-Chun Chen , Zuxuan Wu , Larry S. Davis , Ser-Nam Lim

Over the last two decades, Electron Energy Loss Spectroscopy (EELS) imaging with a scanning transmission electron microscope (STEM) has emerged as a technique of choice for visualizing complex chemical, electronic, plasmonic, and phononic…

Deep learning is applied to many complex tasks in the field of wireless communication, such as modulation recognition of spectrum waveforms, because of its convenience and efficiency. This leads to the problem of a malicious third party…

Machine Learning · Computer Science 2022-01-24 Haidong Xie , Jia Tan , Xiaoying Zhang , Nan Ji , Haihua Liao , Zuguo Yu , Xueshuang Xiang , Naijin Liu

A novel method of spectroscopy in ion traps termed leak-out spectroscopy (LOS) is presented. Here, mass selected, cold ions are excited by an infrared laser. In a subsequent collision with a neutral buffer gas particle their internal energy…

Chemical Physics · Physics 2023-01-11 Philipp C. Schmid , Oskar Asvany , Thomas Salomon , Sven Thorwirth , Stephan Schlemmer

Interface structures in complex oxides remain one of the active areas of condensed matter physics research, largely enabled by recent advances in scanning transmission electron microscopy (STEM). Yet the nature of the STEM contrast in which…

Interface magnetism and topological structure of Fe on organic semiconductor film (Alq3) have been studied and compared with Fe film deposited directly on Si (100) substrate. To get information on the diffused Fe layer at the Fe/Alq3…

The structure property of non-ideal Si/GaAs heterostructures that were integrated with the ultra-thin oxide (UO) tunneling interfacial layer has been systematically investigated. Si nanomembranes (NMs) were oxidized in different time…

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