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Acoustic vibrations of Au and Ag elongated nano-objects with original morphologies, from Ag-Ag homodimers to Au@Ag-Ag heterodimers and Au@Ag eccentric core-shell spheroids, have been experimentally investigated by ultrafast time-resolved optical spectroscopy. Their frequencies, obtained by the analysis of time-dependent transient absorption changes, are compared with the results obtained from finite element modeling (FEM) numerical computations, which allow assignment of the detected oscillating signals to fundamental radial and extensional modes. FEM was further used to analyze the effects of morphology and composition on the vibrational dynamics. FEM computations indicate that (1) the central distance between particles forming the nanodimers has profound effects on the extensional mode frequencies and a negligible influence on the radial mode ones, in analogy with the case of monometallic nanorods, (2) coating Au with Ag also has a strong mass-loading-like effect on the dimer and core-shell stretching mode frequency, while (3) its influence on the radial breathing mode is smaller and analogous to the non-monotonic frequency dependence on the Au fraction previously observed in isotropic bimetallic spheres. These findings are significant for developing a predictive understanding of nanostructure mechanical properties and for designing new mechanical nanoresonators.
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http://dx.doi.org/10.1039/d0cp03260c | DOI Listing |
J Voice
September 2025
Department of Speech and Language Therapy, Faculty of Health Sciences, Hacettepe University, Ankara, Turkey. Electronic address:
Objectives: In individuals over 65, age is an essential factor in voice changes. Acoustic and aerodynamic norms guide clinicians in interpreting clinical voice assessment results. This study aimed to present aerodynamic-acoustic voice measurements in older individuals with no voice complaints.
View Article and Find Full Text PDFJ Acoust Soc Am
September 2025
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China.
This paper presents a semi-analytical method, referred to as the linear-velocity-profile fast field program (LFFP), for predicting two-dimensional sound fields in ambient parallel mean flows. The proposed method incorporates the linear velocity layering method into the fundamental framework of fast field program (FFP) to achieve reduced computational costs and enhanced precision, particularly under high-velocity gradient conditions. The accuracy of LFFP is validated through a two-dimensional jet case by comparison with the linearized Euler equation in frequency-domain.
View Article and Find Full Text PDFChaos
September 2025
Centre for Audio, Acoustics and Vibration (CAAV), School of Mechanical and Mechatronic Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia.
Measurements acquired from distributed physical systems are often sparse and noisy. Therefore, signal processing and system identification tools are required to mitigate noise effects and reconstruct unobserved dynamics from limited sensor data. However, this process is particularly challenging because the fundamental equations governing the dynamics are largely unavailable in practice.
View Article and Find Full Text PDFUltrason Sonochem
August 2025
Key Laboratory of Acoustics and Vibration Applied Measuring Technology, State Administration for Market Regulation, Hangzhou 310018, China.
Longitudinal vibration sandwich piezoelectric transducers with a stepped horn are widely used in high-intensity ultrasonic applications such as ultrasonic welding, ultrasonic machining, and ultrasonic cleaning. In these applications, due to the increased losses, transducers exhibit nonlinear phenomena such as heating, resonance frequency drift, and amplitude saturation. Consequently, existing linear theoretical models are no longer suitable for analyzing the nonlinear characteristics of such transducers.
View Article and Find Full Text PDFJ Acoust Soc Am
September 2025
The Marcus Wallenberg Laboratory for Sound and Vibration Research, Department of Engineering Mechanics, KTH Royal Institute of Technology, Teknikringen 8, 10044 Stockholm, Sweden.
This work presents a data-driven approach to estimating the sound absorption coefficient of an infinite porous slab using a neural network and a two-microphone measurement on a finite porous sample. A one-dimensional-convolutional network predicts the sound absorption coefficient from the complex-valued transfer function between the sound pressure measured at the two microphone positions. The network is trained and validated with numerical data generated by a boundary element model using the Delany-Bazley-Miki model, demonstrating accurate predictions for various numerical samples.
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