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Materials with low work functions are critical for an array of applications requiring the facile removal or efficient transport of electrons through a device. Perovskite oxides are a promising class of materials for finding low work…

Materials Science · Physics 2021-09-07 Tianyu Ma , Ryan Jacobs , John Booske , Dane Morgan

Transmission electron diffraction is a powerful and versatile structural probe for the characterization of a broad range of materials, from nanocrystalline thin films to single crystals. With recent developments in fast electron detectors…

Materials Science · Physics 2021-10-06 Jian-Min Zuo , Renliang Yuan , Yu-Tsun Shao , Haw-Wen Hsiao , Saran Pidaparthy , Yang Hu , Qun Yang , Jiong Zhang

Mega-pixel charge-integrating detectors are common in near-IR imaging applications. Optimal signal-to-noise ratio estimates of the photocurrents, which are particularly important in the low-signal regime, are produced by fitting linear…

Instrumentation and Methods for Astrophysics · Physics 2016-06-16 Michael Zemcov , Brendan Crill , Matthew Ryan , Zak Staniszewski

Image persistence is a major problem in infrared detectors, potentially seriously limiting data quality in many observational regimes. The problem manifests itself as remnant images that can persist for several days after a deep exposure.…

Instrumentation and Methods for Astrophysics · Physics 2018-07-17 Simon Tulloch

Light-induced mechanical deformations in single-domain (PbTiO$_{3}$)$_{n}$/(SrTiO$_{3}$)$_{m}$ superlattices were simulated using first-principle calculations. By varying the chemical fraction PbTiO$_{3}$, we discover that these…

Materials Science · Physics 2024-08-02 Carmel Dansou , Charles Paillard , Laurent Bellaiche

Development in lattice strain mapping using four-dimensional scanning transmission electron microscopy (4D-STEM) method now offers improved precision and feasibility. However, automatic and accurate diffraction analysis is still challenging…

Materials Science · Physics 2022-01-04 Sihan Wang , Tim Eldred , Jacob Smith , Wenpei Gao

Materials combining both a high refractive index and a wide band gap are of great interest for optoelectronic and sensor applications. However, these two properties are typically described by an inverse correlation with high refractive…

Hyperspectral target detection (HTD) aims to identify specific materials based on spectral information in hyperspectral imagery and can detect extremely small-sized objects, some of which occupy a smaller than one-pixel area. However,…

Computer Vision and Pattern Recognition · Computer Science 2026-01-13 Zhaoxu Li , Wei An , Gaowei Guo , Longguang Wang , Yingqian Wang , Zaiping Lin

Here, we report the full-fledged journey towards the material synthesis and characterization of few-layered/thin WSe$_2$ using sputtered W-films on SiO$_2$/Si substrates followed by electrical studies under dark and illumination conditions.…

PN heterojunctions comprising layered van der Waals (vdW) semiconductors have been used to demonstrate current rectifiers, photodetectors, and photovoltaic devices. However, a direct or near-direct bandgap at the heterointerface that can…

Graphene and other two-dimensional (2D) materials have emerged as promising materials for broadband and ultrafast photodetection and optical modulation. These optoelectronic capabilities can augment complementary metal-oxide-semiconductor…

Intensive efforts have been devoted to exploit novel optoelectronic devices based on two-dimensional (2D) transition-metal dichalcogenides (TMDCs) owing to their strong light-matter interaction and distinctive material properties. In…

Mesoscale and Nanoscale Physics · Physics 2020-02-26 Nikolaus Flöry , Ping Ma , Yannick Salamin , Alexandros Emboras , Takashi Taniguchi , Kenji Watanabe , Juerg Leuthold , Lukas Novotny

It is demonstrated that persistent-photoconductivity (PPC), well-studied in lightly-doped semiconductors, is observable in GeSbTe compounds using infrared excitation at cryogenic temperatures. The low level of energy-flux necessary to…

Strongly Correlated Electrons · Physics 2015-03-26 Z. Ovadyahu

Recent advancements in soft robots, human-machine interfaces, and wearable electronics have led to an increased demand for high-performance soft tactile sensors. Tomographic tactile sensor based on resistive coupling is a novel contact…

Human-Computer Interaction · Computer Science 2024-06-04 Shunsuke Yoshimoto , Koji Sakamoto , Rina Takeda , Akio Yamamoto

Electrostriction is an important material property that characterizes how strain changes with the development of polarization inside a material. We show that \textit{ab initio }techniques developed in recent years can be exploited to…

Materials Science · Physics 2016-06-24 Z. Jiang , R. Zhang , F. Li , L. Jin , N. Zhang , D. Wang , C. -L. Jia

Transition Edge Sensors (TES) are superconducting microcalorimeters that can be used for single-photon detection with extremely low backgrounds. When they are within their superconducting transition region, small temperature fluctuations -…

Hyperspectroscopy is a new method of surface image taking, providing simultaneously high position and spectral resolutions which allow one to make some conclusions about chemical compositions of the surfaces. We are now studying…

Instrumentation and Detectors · Physics 2016-11-18 I. Rodionov , J-M. Bidault , I. Crotty , P. Fonte , F. Galy , V. Peskov , O. Zanette

We develop a multi-step workflow for the discovery of conventional superconductors, starting with a Bardeen Cooper Schrieffer inspired pre-screening of 1736 materials with high Debye temperature and electronic density of states. Next, we…

Superconductivity · Physics 2023-01-16 Kamal Choudhary , Kevin Garrity

The development of new materials is a core aspect of advancement in synthesis and application for industry. There is a vast number of possible chemical permutations of the basic elements that can be explored to synthesize materials that…

Materials Science · Physics 2023-10-30 Antony A. Ayieko , Michael O. Atambo , George O. Amolo

We report the development of a combined machine-learning and high-throughput density functional theory (DFT) framework to accelerate the search for new ferroelectric materials. The framework can predict potential ferroelectric compounds…

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