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Metamaterials, artificially structured electromagnetic (EM) materials, have enabled the realization of many unconventional electromagnetic properties not found in nature, such as negative refractive index, magnetic response, invisibility…

Optics · Physics 2018-01-03 Weixuan Zhang , Kaiyang Cheng , Chao Wu , Yi Wang , Hongqiang Li , Xiangdong Zhang

Atomic resolution imaging in transmission electron microscopy (TEM) and scanning TEM (STEM) of light elements in electron-transparent materials has long been a challenge. Biomolecular materials, for example, are rapidly altered when…

Instrumentation and Detectors · Physics 2018-12-05 Fehmi S. Yasin , Tyler R. Harvey , Jordan J. Chess , Jordan S. Pierce , Colin Ophus , Peter Ercius , Benjamin J. McMorran

The extraordinary improvements of modern imaging devices offer access to data with unprecedented information content. However, widely used image processing methodologies fall far short of exploiting the full breadth of information offered…

Computer Vision and Pattern Recognition · Computer Science 2014-03-27 Benjamin Berkels , Peter Binev , Douglas A. Blom , Wolfgang Dahmen , Robert C. Sharpley , Thomas Vogt

X-ray interaction with matter is an energy-dependent process that is contingent on the atomic structure of the constituent material elements. The most advanced models to capture this relationship currently rely on Monte Carlo (MC)…

Machine Learning · Computer Science 2023-07-11 Raziye Kubra Kumrular , Thomas Blumensath

To combat the risk of nuclear smuggling, radiography systems are deployed at ports to scan cargo containers for concealed illicit materials. Dual energy radiography systems enable a rough elemental analysis of cargo containers due to the…

Instrumentation and Detectors · Physics 2024-12-11 Peter Lalor , Areg Danagoulian

Resonant photonuclear isotope detection (RPID) is a nondestructive detection/assay of nuclear isotopes by measuring gamma rays following photonuclear reaction products. Medium-energy wideband photons of 12-16 MeV are used for the…

Nuclear Experiment · Physics 2012-03-06 Hiroyasu Ejiri , Tatsushi Shima

Machine learning (ML) models utilizing structure-based features provide an efficient means for accurate property predictions across diverse chemical spaces. However, obtaining equilibrium crystal structures typically requires expensive…

Materials Science · Physics 2021-04-22 Yunxing Zuo , Mingde Qin , Chi Chen , Weike Ye , Xiangguo Li , Jian Luo , Shyue Ping Ong

Electron tomography, as an important 3D imaging method, offers a powerful method to probe the 3D structure of materials from the nano- to the atomic-scale. However, as a grant challenge, radiation intolerance of the nanoscale samples and…

Materials Science · Physics 2020-03-30 Chunyang Wang , Guanglei Ding , Yitong Liu , Huolin L. Xin

We present a detailed exposition of the design for time- and angle-resolved photoemission spectroscopy using a UV probe laser source that combines the nonlinear effects of \b{eta}-BaB2O4 and KBe2BO3F2 optical crystals. The photon energy of…

Mesoscale and Nanoscale Physics · Physics 2023-10-13 Mojun Pan , Junde Liu , Famin Chen , Ji Wang , ChenXia Yun , Tian Qian

A simple X-ray imaging system using off-the-shelf electronics and simple reconstruction algorithms aiming a spatial resolution of 1.7 mm ($\sim 3\,\%$ of the detector length) is described in this work. For this, two 100 cm$^2$ Gas Electron…

Instrumentation and Detectors · Physics 2015-06-18 H. Natal da Luz , J. A. Mir , X. Carvalho , J. M. F. dos Santos

Machine Learning (ML) techniques are revolutionizing the way to perform efficient materials modeling. Nevertheless, not all the ML approaches allow for the understanding of microscopic mechanisms at play in different phenomena. To address…

Materials Science · Physics 2022-06-22 Udaykumar Gajera , Loriano Storchi , Danila Amoroso , Francesco Delodovici , Silvia Picozzi

Two-dimensional (2D) materials have been a central focus of recent research because they host a variety of properties, making them attractive both for fundamental science and for applications. It is thus crucial to be able to identify…

Materials Science · Physics 2022-11-18 Mohammad Tohidi Vahdat , Kumar Agrawal Varoon , Giovanni Pizzi

The performance demands of future particle-physics experiments investigating the high-energy frontier pose a number of new challenges, forcing us to find improved solutions for the detection, identification, and measurement of final-state…

Instrumentation and Detectors · Physics 2022-03-31 Jan Kieseler , Giles C. Strong , Filippo Chiandotto , Tommaso Dorigo , Lukas Layer

We introduce a novel technique, neutron-gamma emission tomography (NGET), for rapid detection, 3D imaging, and characterization of special nuclear materials like weapons grade plutonium and uranium. The technique is adapted from fundamental…

Applied Physics · Physics 2020-12-24 Jana Petrovic , Alf Göök , Bo Cederwall

Radar-based materials detection received significant attention in recent years for its potential inclusion in consumer and industrial applications like object recognition for grasping and manufacturing quality assurance and control. Several…

Signal Processing · Electrical Eng. & Systems 2022-02-11 Rami N. Khushaba , Andrew J. Hill

Microplastics are increasingly recognized as a global environmental health threat, yet their detection and characterization remain constrained by the cost, form factor, and throughput of existing analytical tools. Portable…

Applied Physics · Physics 2025-10-31 Sayedus Salehin , Syed Shaheer Uddin Ahmed , Uzay Tefek , Laura Weirauch , M. Selim Hanay

This paper outlines image domain material decomposition algorithms that have been routinely used in MARS spectral CT systems. These algorithms (known collectively as MARS-MD) are based on a pragmatic heuristic for solving the…

Spectral photon-counting X-ray CT (sCT) opens up new possibilities for the quantitative measurement of materials in an object, compared to conventional energy-integrating CT or dual energy CT. However, achieving reliable and accurate…

Image and Video Processing · Electrical Eng. & Systems 2020-07-15 Bingqing Xie , Pei Niu , Ting Su , Valérie Kaftandjian , Loic Boussel , Philippe Douek Feng Yang , Philippe Duvauchelle , Yuemin Zhu

For reconstruction of the spatial structure and thicknesses of complex objects and materials, it is proposed to use multi-radiography with detection of X-ray or gamma-radiation by combined detector arrays of scintillator-photodiode type.…

High Energy Physics - Experiment · Physics 2009-11-07 S. V. Naydenov , V. D. Ryzhikov , B. V. Grinyov , E. K. Lisetskaya , D. N. Kozin , A. D. Opolonin

We recently proposed a method called Material Fingerprinting for the rapid discovery of mechanical material models that avoids solving continuous optimization problems. Material Fingerprinting assumes that each material exhibits a unique…

Computational Engineering, Finance, and Science · Computer Science 2026-04-08 Moritz Flaschel , Hagen Holthusen , Denisa Martonová , Ellen Kuhl
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