AI Article Synopsis
- Gravimetric sensors using solidly mounted resonators need insulating acoustic reflectors to function properly in liquids, which this study addresses.
- The research introduces tungsten oxide as a new high-acoustic impedance material for these reflectors, detailing its optimized production to achieve desired properties.
- Tungsten oxide shows advantages over traditional materials, including faster manufacturing and improved performance in practical applications like shear mode acoustic wave resonators in liquid settings.
Article Abstract
Gravimetric sensors based on solidly mounted resonators require fully insulating acoustic reflectors to avoid parasitics when operating in liquid media. In this work, we propose a new high-acoustic impedance material, tungsten oxide ([Formula: see text]), for acoustic reflectors. We have optimized the sputtering conditions of [Formula: see text] to obtain nonconductive layers with mass density around [Formula: see text] and acoustic velocities for the shear and the longitudinal modes up to 2700 and 4500 m/s, respectively. Compared to other conventionally used high impedance layers, [Formula: see text] films display several manufacture advantages, such as high deposition rates, great reproducibility, and good adhesion to underlying substrates. We have demonstrated the applicability of [Formula: see text] in practical shear mode bulk acoustic wave resonators that display good performance in liquid environments.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1109/TUFFC.2015.2498968 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The persuasive role of generic-you in online interactions.
Sci Rep
January 2025
Department of Psychology, Bryn Mawr College, Bryn Mawr, PA, USA.
Persuasion plays a crucial role in human communication. Yet, convincing someone to change their mind is often challenging. Here, we demonstrate that a subtle linguistic device, generic-you (i.
View Article and Find Full Text PDFA Mattila-Sjölin theorem for simplices in low dimensions.
Math Ann
July 2024
Department of Mathematics, Virginia Tech, Blacksburg, VA 24061 USA.
In this paper we show that if a compact set , , has Hausdorff dimension greater than when or when , then the set of congruence class of simplices with vertices in has nonempty interior. By set of congruence class of simplices with vertices in we mean where . This result improves the previous best results in the sense that we now can obtain a Hausdorff dimension threshold which allow us to guarantee that the set of congruence class of triangles formed by triples of points of has nonempty interior when as well as extending to all simplices.
View Article and Find Full Text PDFOn escape criterion of an orbit with s-convexity and illustrations of the behavior shifts in Mandelbrot and Julia set fractals.
PLoS One
January 2025
Department of Basic Sciences, Preparatory Year, King Faisal University, Al-Ahsa, Saudi Arabia.
Our study presents a novel orbit with s-convexity, for illustration of the behavior shift in the fractals. We provide a theorem to demonstrate the escape criterion for transcendental cosine functions of the type Tα,β(u) = cos(um)+αu + β, for [Formula: see text] and m ≥ 2. We also demonstrate the impact of the parameters on the formatted fractals with numerical examples and graphical illustrations using the MATHEMATICA software, algorithm, and colormap.
View Article and Find Full Text PDFDeep learning-based encryption scheme for medical images using DCGAN and virtual planet domain.
Sci Rep
January 2025
Department of Computer Science and Information Systems, Birla Institute of Technology and Science-Pilani, Hyderabad Campus, Hyderabad, 500078, India.
The motivation for this article stems from the fact that medical image security is crucial for maintaining patient confidentiality and protecting against unauthorized access or manipulation. This paper presents a novel encryption technique that integrates the Deep Convolutional Generative Adversarial Networks (DCGAN) and Virtual Planet Domain (VPD) approach to enhance the protection of medical images. The method uses a Deep Learning (DL) framework to generate a decoy image, which forms the basis for generating encryption keys using a timestamp, nonce, and 1-D Exponential Chebyshev map (1-DEC).
View Article and Find Full Text PDFDoes a priming warm-up influence the incidence of [Formula: see text] during a ramp test and verification phase?
PLoS One
January 2025
Center for Research and Education in Special Environments, Department of Exercise and Nutrition Sciences, University at Buffalo, Buffalo, NY, United States of America.
Objective: This study compared the effects of two different warm-up protocols (normal vs. priming) on the oxygen plateau ([Formula: see text]) incidence rate during a ramp test. It also compared the cardiopulmonary responses during the ramp test and subsequent verification phase.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!