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Spin-based electronics or spintronics is an emerging field, in which we try to utilize spin degrees of freedom as well as charge transport in materials and devices. While metal-based spin-devices, such as magnetic-field sensors and…

Mesoscale and Nanoscale Physics · Physics 2014-01-13 Masaaki Tanaka , Shinobu Ohya , Pham Nam Hai

Muon tomography is developing as a promising system to detect high-Z (atomic number) material for ensuring homeland security. In the present work, three kinds of spatial locations of materials which are made of aluminum, iron, lead and…

Instrumentation and Detectors · Physics 2016-08-04 Xiao-Dong Wang , Kai-Xuan Ye , Yu-Lei Li , Wen Luo , Hui-Yin Wu , He-Run Yang , Guo-Xiang Chen , Zhi-Chao Zhu , Xiu-Liang Zhao

One of the key issues in magnetic refrigeration is generating the magnetic field that the magnetocaloric material must be subjected to. The magnet constitutes a major part of the expense of a complete magnetic refrigeration system and a…

Instrumentation and Detectors · Physics 2014-09-30 R. Bjørk , C. R. H. Bahl , A. Smith , N. Pryds

Pixel sensors using 8" CMOS processing technology have been designed and characterized offering the benefits of industrial sensor fabrication, including large wafers, high throughput and yield, as well as low cost. The pixel sensors are…

Instrumentation and Detectors · Physics 2017-08-02 D. -L. Pohl , T. Hemperek , I. Caicedo , L. Gonella , F. Hügging , J. Janssen , H. Krüger , A. Macchiolo , N. Owtscharenko , L. Vigani , N. Wermes

Two critical characteristics for any MEMS resonator are the quality factor ($Q$) and the temperature coefficient of frequency ($TCF$). The connection between $Q$ and $TCF$ is demonstrated here with a phenomenological anharmonic oscillator…

Mesoscale and Nanoscale Physics · Physics 2024-12-16 S. McHugh

Superconducting circuits are a promising platform for implementing fault-tolerant quantum computers, quantum limited amplifiers, ultra-low power superconducting electronics, and sensors with ultimate sensitivity. Typically, circuit…

A custom-developed magneto-mechanical resonator (MMR) for wireless pressure measurement is investigated for potential applications in process engineering. The MMR sensor utilises changes in the resonance frequency caused by pressure on a…

Variable flux memory motors, which employ Low Coercive Force (LCF) magnets, achieve extended high-efficiency operation through controllable magnetization states. To address the need for a unified approach to defining and comparing the…

Systems and Control · Electrical Eng. & Systems 2026-04-28 Taha El Hajji , Aleksandr Nadkin , Stefan Skoog , Lars Sjöberg , Kristoffer Nilsson , Anthony C. Morcos

We introduce machine learning (ML) models that predict the electronic structure of materials across a wide temperature range. Our models employ neural networks and are trained on density functional theory (DFT) data. Unlike most other ML…

Materials Science · Physics 2023-10-02 Lenz Fiedler , Normand A. Modine , Kyle D. Miller , Attila Cangi

Optical components, such as lenses, have traditionally been made in the bulk form by shaping glass or other transparent materials. Recent advances in metasurfaces provide a new basis for recasting optical components into thin, planar…

Optics · Physics 2018-02-14 Alan She , Shuyan Zhang , Samuel Shian , David R. Clarke , Federico Capasso

Characterization of the minute cosmic microwave background polarization signature requires multi-frequency, high-throughput precision instrument systems. We have previously described the detector fabrication of a 40 GHz focal plane and now…

Strain-mediated magnetoelectric (ME) heterostructures enable electric-field control of magnetism and are promising for ultra-low-power spintronic logic. Yet achieving spatially selective, low-voltage control in thin films and quantifying ME…

Machine learning force fields (MLFFs), which employ neural networks to map atomic structures to system energies, effectively combine the high accuracy of first-principles calculation with the computational efficiency of empirical force…

Machine Learning · Computer Science 2025-11-17 Guangyi Dong , Zhihui Wang

We present a study of a CMOS test sensor which has been designed, fabricated and characterised to investigate the parameters required for a binary readout electromagnetic calorimeter. The sensors were fabricated with several enhancements in…

We report on the development of commercially fabricated multi-chroic antenna coupled Transition Edge Sensor (TES) bolometer arrays for Cosmic Microwave Background (CMB) polarimetry experiments. The orders of magnitude increase in detector…

The aim of a joint research and development project at the BME and HWU is to produce a cheap, reliable, low-power and CMOS-MEMS process compatible capacitive type relative humidity (RH) sensor that can be incorporated into a…

Other Computer Science · Computer Science 2008-12-18 L. Juhasz , A. Vass-Varnai , Veronika Timar-Horvath , Marc Desmulliez , Resh Dhariwal

Owing to the maturity of complementary metal oxide semiconductor (CMOS) microelectronics, qubits realized with spins in silicon quantum dots (QDs) are considered among the most promising technologies for building scalable quantum computers.…

Resonances in optical systems are useful for many applications, such as frequency comb generation, optical filtering, and biosensing. However, many of these applications are difficult to implement in optical metasurfaces because traditional…

The AC magnetic susceptibility is a fundamental method in materials science, which allows to probe the dynamic magnetic response of magnetic materials and superconductors. The LAMPS laboratory at the Laboratori Nazionali di Frascati of the…

Instrumentation and Detectors · Physics 2014-06-12 Shenghao Wang , Augusto Marcelli , Daniele Di Gioacchino , Ziyu Wu

Controlled atomic scale fabrication of functional devices is one of the holy grails of nanotechnology. The most promising class of techniques that enable deterministic nanodevice fabrication are based on scanning probe patterning or surface…

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