Results 51 to 60 of about 2,115 (205)
Exceptional Antimodes in Multi‐Drive Cavity Magnonics
Driven‐dissipative cavity‐magnonics provides a flexible platform for engineering non‐Hermitian physics such as exceptional points. Here, using a four‐port, three‐mode system with controllable microwave interference, antimodes and coherent perfect extinction (CPE) are realized, enabling active tuning to antimode exceptional points.
Mawgan A. Smith +4 more
wiley +1 more source
1T1R‐arrays combining filamentary‐type memristors and CMOS transistors offer great potential for energy‐efficient analog hardware accelerators. Here, transient SET analysis of nanoscale HfO2 memristors integrated on 180 nm CMOS wafers is discussed.
Oliver Artner +11 more
wiley +1 more source
Monitoring the mass, eigenfrequency, and quality factor of mammalian cells
The regulation of mass is essential for the development and homeostasis of cells and multicellular organisms. However, cell mass is also tightly linked to cell mechanical properties, which depend on the time scales at which they are measured and change ...
Sophie Herzog +7 more
doaj +1 more source
EXPERIMENTAL PROCESS FOR DETERMINING THE DAMPING PROPERTIES OF BARS WITH AROPOL MATRIX [PDF]
In this paper, I have built a composite sample made from glass fiber as reinforcement and Aropol as matrix. For this sample, I have used an experimental procedure to determine the damping properties and the frequency of the first eigenmode.
Claudia Alina IOVAN
doaj
Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley +1 more source
Accuracy of one-dimensional approximation in neutron star quasi-normal modes
Since the eigenfrequency of gravitational waves from cold neutron stars becomes a complex number, where the real and imaginary parts respectively correspond to an oscillation frequency and damping rate, one has to somehow solve the eigenvalue problem ...
Hajime Sotani
doaj +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Modeling and Output Optimization of Triboelectric Microphone for Acoustic Energy Harvesting
This work elucidates the fundamental multiphysics coupling mechanisms governing acoustic T‐phone, providing a critical theoretical foundation and a predictive design paradigm for the future engineering and deployment of next‐generation, self‐powered acoustic sensors.
Dan Liu +6 more
wiley +1 more source
RESEARCH REGARDING THE MODAL PARAMETERS IDENTIFICATION FOR METALLIC STRUCTURES (II) [PDF]
Starting from the theoretical background written in [1], we present the package programs software realized by the authors for modal parameters identification of this kind of structures.
Dan ILINCIOIU +2 more
doaj
Resonant States Reveal Strong Light–Matter Coupling in Nanophotonic Cavities
Photonic resonant states reveal characteristics of coupled light–matter systems that would otherwise be hidden by damping. Their trajectories (when tuning the optical resonance) undergo a qualitative change at the onset of strong coupling: They start swapping positions.
Jan David Fischbach +5 more
wiley +1 more source

