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Depth profiling of thin films by inert gas sputtering is one of the most important applications of Auger electron spectroscopy and X-ray photoelectron spectroscopy. Such an analysis monitors the elemental in-depth composition of the thin…

Materials Science · Physics 2021-01-05 Uwe Scheithauer

Low-light image enhancement (LLIE) aims at improving the perception or interpretability of an image captured in an environment with poor illumination. Recent advances in this area are dominated by deep learning-based solutions, where many…

Computer Vision and Pattern Recognition · Computer Science 2021-11-08 Chongyi Li , Chunle Guo , Linghao Han , Jun Jiang , Ming-Ming Cheng , Jinwei Gu , Chen Change Loy

Existing frameworks for image stitching often provide visually reasonable stitchings. However, they suffer from blurry artifacts and disparities in illumination, depth level, etc. Although the recent learning-based stitchings relax such…

Computer Vision and Pattern Recognition · Computer Science 2024-01-23 Minsu Kim , Jaewon Lee , Byeonghun Lee , Sunghoon Im , Kyong Hwan Jin

The isotope selective grazing-incidence nuclear resonance scattering (GI-NRS) technique is demonstrated to be depth-resolved under x-ray standing wave (XSW) conditions to probe the magnetism of the two interfaces of the Fe layers (Fe-on-Tb…

Materials Science · Physics 2024-12-25 Dileep Kumar

Oxide heterostructures have shown rich physics phenomena, particularly in the conjunction of exotic insulator-metal transition (IMT) at the interface between polar insulator LaAlO3 and non-polar insulator SrTiO3 (LaAlO3/SrTiO3).…

The band alignment of semiconductor-metal interfaces plays a vital role in modern electronics, but remains difficult to predict theoretically and measure experimentally. For interfaces with strong band bending a main difficulty originates…

The semiconductor-metal junction is one of the most critical factors for high performance electronic devices. In two-dimensional (2D) semiconductor devices, minimizing the voltage drop at this junction is particularly challenging and…

Image deep steganography (IDS) is a technique that utilizes deep learning to embed a secret image invisibly into a cover image to generate a container image. However, the container images generated by convolutional neural networks (CNNs)…

Cryptography and Security · Computer Science 2023-03-27 Huajie Chen , Tianqing Zhu , Yuan Zhao , Bo Liu , Xin Yu , Wanlei Zhou

Co-sputtered Au-Ni thin films having thickness of 30 nm were deposited on Si(100) substrates and irradiated with 160 keV ^{40}Ar^{+} under ambient condition at a number of fluences and analyzed using Rutherford backscattering spectrometry…

Materials Science · Physics 2009-04-16 D. Datta , S. R. Bhattacharyya

We have investigated the effects of low-energy ion beam irradiations using argon clusters on the chemical and electronic properties of LaAlO3/SrTiO3 (LAO/STO) heterointerfaces by combining X-ray photoelectron spectroscopy (XPS) and…

Strongly Correlated Electrons · Physics 2018-01-24 Karl Ridier , Damien Aureau , Bruno Bérini , Yves Dumont , Niels Keller , Jackie Vigneron , Arnaud Etcheberry , Arnaud Fouchet

Electron energy loss spectroscopy (EELS) can be used to probe plasmon excitations in nanostructured materials with atomic-scale spatial resolution. For structures smaller than a few nanometers quantum effects are expected to be important,…

Mesoscale and Nanoscale Physics · Physics 2013-01-03 Kirsten Andersen , Karsten W. Jacobsen , Kristian S. Thygesen

This study aims towards a systematic reciprocity of the tunable synthesis parameters - partial pressure of N$_2$ gas, ion energy (\Ei) and Ti interface in TiN thin film samples deposited using ion beam sputtering at ambient temperature…

Materials Science · Physics 2020-06-22 Susmita Chowdhury , Rachana Gupta , Shashi Prakash , Layanta Behera , D. M. Phase , Mukul Gupta

The fabrication of micro- and nano-scale silicon electronic devices requires precision lithography and controlled processing to ensure that the electronic properties of the device are optimized. Importantly, the Si-SiO2 interface plays a…

We have studied the chemical and electronic properties of LaAlO3/SrVO3 ultrathin films by combining hard x-ray photoemission spectroscopy and transport measurements. We compare single SrVO3 (SVO) ultrathin films and SrVO3 buried below a…

The past decades have witnessed marked progresses on the research of interfacial science in complex systems promoted by the advances in novel experimental techniques. Despite its success in many fields, implementation of coherent…

Optics · Physics 2021-11-16 Changhao Xu , Yu Zhang , Qianchi Feng , Rongda Liang , Chuanshan Tian

We present a new, computationally efficient, energy-integrated approximation for neutrino effects in hot and dense astrophysical environments such as supernova cores and compact binary mergers and their remnants. Our new method, termed…

High Energy Astrophysical Phenomena · Physics 2019-03-13 Ricard Ardevol-Pulpillo , H. -Thomas Janka , Oliver Just , Andreas Bauswein

Learned image compression (LIC) methods have experienced significant progress during recent years. However, these methods are primarily dedicated to optimizing the rate-distortion (R-D) performance at medium and high bitrates (> 0.1 bits…

Computer Vision and Pattern Recognition · Computer Science 2023-06-28 Anqi Li , Feng Li , Jiaxin Han , Huihui Bai , Runmin Cong , Chunjie Zhang , Meng Wang , Weisi Lin , Yao Zhao

Despite constituting a smaller fraction of the qubits electromagnetic mode, surfaces and interfaces can exert significant influence as sources of high-loss tangents, which brings forward the need to reveal properties of these extended…

Images captured from low-light scenes often suffer from severe degradations, including low visibility, color cast and intensive noises, etc. These factors not only affect image qualities, but also degrade the performance of downstream…

Computer Vision and Pattern Recognition · Computer Science 2021-12-10 Risheng Liu , Long Ma , Tengyu Ma , Xin Fan , Zhongxuan Luo

Ubiquitous to most molecular scattering methods is the challenge to retrieve bond distance and angle from the scattering signals since this requires convergence of pattern matching algorithms or fitting methods. This problem is typically…