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Related papers: Defect complexes in CrSBr revealed through electro…

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Chromium sulfur bromide (CrSBr) is a magnetic van der Waals semiconductor with a direct bandgap and pronounced anisotropy in its electronic, optical, spin and lattice degrees of freedom. Here, we employ spectroscopic imaging ellipsometry…

We present a fingerprint-like method to analyze material defects after energetic particle irradiation by computing a rotation invariant descriptor vector for each atom of a given sample. For ordered solids this new method is easy to use,…

Materials Science · Physics 2019-10-15 F. J. Dominguez-Gutierrez , U. von Toussaint

The intercalation of metal chlorides, and particularly iron chlorides, into graphitic carbon structures has recently received lots of attention, as it can not only protect this two-dimensional (2D) magnetic system from the effects of the…

Optically active spin defects in van der Waals (vdW) materials have recently emerged as versatile quantum sensors, enabling applications from nanoscale magnetic field detection to the exploration of novel quantum phenomena in condensed…

Point defects have a strong influence on the physical properties of materials, often dominating the electronic and optical behavior in semiconductors and insulators. The simulation and analysis of point defects is therefore crucial for…

Materials Science · Physics 2024-03-12 Jimmy-Xuan Shen , Lars F. Voss , Joel Basile Varley

Bearing fault diagnosis in rotating machinery is critical for ensuring operational reliability, therefore early fault detection is essential to avoid catastrophic failures and expensive emergency repairs. Traditional methods like Fast…

Signal Processing · Electrical Eng. & Systems 2025-09-23 Dilshara Herath , Chinthaka Abeyrathne , Chamindu Adithya , Chathura Seneviratne

The electrical and optical properties of semiconductor materials are profoundly influenced by the atomic configurations and concentrations of intrinsic defects. This influence is particularly significant in the case of $\beta$-$\rm…

Materials Science · Physics 2024-02-08 Mengzhi Yan , Junlei Zhao , Flyura Djurabekova , Zongwei Xu

A growing need exists for efficient and accurate methods for detecting defects in semiconductor materials and devices. These defects can have a detrimental impact on the efficiency of the manufacturing process, because they cause critical…

Computer Vision and Pattern Recognition · Computer Science 2023-08-21 Thibault Lechien , Enrique Dehaerne , Bappaditya Dey , Victor Blanco , Sandip Halder , Stefan De Gendt , Wannes Meert

Van der Waals heterostructures of atomically thin layers with rotational misalignments, such as twisted bilayer graphene, feature interesting structural moir\'e superlattices. Due to the quantum coupling between the twisted atomic layers,…

2D magnetic semiconductor CrSBr exhibits unique magneto-optical properties, yet its electronic structure and photophysical mechanisms remain unclear at high magnetic field and low temperature. Through comprehensive spectroscopic…

Materials Science · Physics 2024-11-28 Xiaodong Shen , Jiajun Cao , Weizheng Liang , Borong Cong , Bao Ke , Jialong Zhao , Bingsuo Zou

Manufacturing wafers is an intricate task involving thousands of steps. Defect Pattern Recognition (DPR) of wafer maps is crucial to find the root cause of the issue and further improving the yield in the wafer foundry. Mixed-type DPR is…

Computer Vision and Pattern Recognition · Computer Science 2023-10-18 Nitish Shukla

Deep learning-based semiconductor defect inspection has gained traction in recent years, offering a powerful and versatile approach that provides high accuracy, adaptability, and efficiency in detecting and classifying nano-scale defects.…

Computer Vision and Pattern Recognition · Computer Science 2024-07-18 Amit Prasad , Bappaditya Dey , Victor Blanco , Sandip Halder

A maximally stable extreme region (MSER) analysis based convolutional neural network (CNN) for unified defect detection framework is proposed in this paper. Our proposed framework utilizes the generality and stability of MSER to generate…

Signal Processing · Electrical Eng. & Systems 2020-05-26 Zelin Deng , Xiaolong Yan , Shengjun Zhang , Colleen P. Bailey

Visual defect assessment is a form of anomaly detection. This is very relevant in finding faults such as cracks and markings in various surface inspection tasks like pavement and automotive parts. The task involves detection of…

Computer Vision and Pattern Recognition · Computer Science 2019-05-31 Manpreet Singh Minhas , John Zelek

Stacking van der Waals magnets holds promise for creating new hybrid materials with properties that do not exist in bulk materials. Here we investigate orthogonally twisted stacks of the van der Waals antiferromagnet CrSBr, aiming to…

Modification of physical properties of materials and design of materials with on-demand characteristics is at the heart of modern technology. Rare application relies on pure materials--most devices and technologies require careful design of…

The complete band representations (BRs) have been constructed in the work of topological quantum chemistry. Each BR is expressed by either a localized orbital at a Wyckoff site in real space, or by a set of irreducible representations in…

Materials Science · Physics 2022-03-21 Jiacheng Gao , Yuting Qian , Huaxian Jia , Zhaopeng Guo , Zhong Fang , Miao Liu , Hongming Weng , Zhijun Wang

We investigate the Cr electronic structure and excitations in CrSBr, a layered magnetic semiconductor, using a combination of resonant x-ray spectroscopic techniques. X-ray absorption spectroscopy (XAS) and resonant inelastic x-ray…

One of the long-standing problems in materials science is how to predict a material's structure and then its properties given only its composition. Experimental characterization of crystal structures has been widely used for structure…

Materials Science · Physics 2022-03-29 Rongzhi Dong , Yong Zhao , Yuqi Song , Nihang Fu , Sadman Sadeed Omee , Sourin Dey , Qinyang Li , Lai Wei , Jianjun Hu

Detecting and analyzing various defect types in semiconductor materials is an important prerequisite for understanding the underlying mechanisms as well as tailoring the production processes. Analysis of microscopy images that reveal…

Computer Vision and Pattern Recognition · Computer Science 2024-02-22 Binh Duong Nguyen , Johannes Steiner , Peter Wellmann , Stefan Sandfeld