The architecture of the light-activated pixel element in the OPAT is presented in Fig. 2A. We have used the circuit to drive transducers at 0.7 MHz and at 2.25 MHz. For the latter, we used lead zirconate titanate (PZT) piezoelectric disks as…
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Ion transport-triggered rapid flexible hydrovoltaic sensing
Ordered nanochannels and gravity elimination along the nanochannel direction resulted in drag resistance reduction
Figure 1a schematically shows the design of the hydrovoltaic device. Overall, the stable structural binding of nanochannels and the…
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Dynamic caustics by ultrasonically modulated liquid surface
In optics, caustics is defined as “the envelope of light rays that have been reflected or refracted by a curved surface or object, or the projection of that envelope of rays on another surface”1. When light enters an object with a high…
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Tracking metal presence in cannabis vaping products from source to inhalation
Total metals analysis
The mass fractions of the measured Class 1 contaminants (As, Cd, and Pb) in the studied cannabis vape liquids were within the Pharmacopoeia tolerance limits5. The highest As mass fraction (17.6 ± 20.4 µg kg− 1,…
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Modeling resource consumption in the US air transportation system via minimum-cost percolation
Data
We fuse data from multiple freely available sources. We rely on the Airline On-Time Performance database of the Bureau of Transportation Statistics (BTS)60, which provides the origin of and destination df airports, scheduled departure and…
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Unidirectional perfect absorption induced by chiral coupling in spin-momentum locked waveguide magnonics
Lodahl, P. et al. Chiral quantum optics. Nature 541, 473 (2017).
Google Scholar
Hentschel, M., Schäferling, M., Duan, X., Giessen, H. & Liu, N. Chiral plasmonics. Sci. Adv.…
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Versatile control of nonlinear topological states in non-Hermitian systems
Model
We consider a one-dimensional (1D) topological interface model consisting of a Hermitian nonlinear SSH chain and a non-Hermitian nonlinear SSH chain, as shown in Fig. 1. Both SSH chains contain two sublattices a and b, and their state…
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Learning and criticality in a self-organizing model of connectome growth
In the following, we present the results of extensive simulations that run the locally conservative sandpile model with Hebbian learning on hierarchical modular networks (HMNs) where each node represents a neuron. For the baseline HMNs used, the…
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Leveraging data analytics to revolutionize cybersecurity with machine learning and deep learning
Decoding intelligence: interpreting the impact of findings
The CNN model demonstrated impressive performance, achieving high accuracy in classifying synthetic data. Training and validation accuracy graphs showed remarkable convergence, indicating…
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Multimodal feature distinguishing and deep learning approach to detect lung disease from MRI images
The design goal of the MFDM is to improve lung disease detection accuracy through feature differentiation. The extractable and non-extractable features are exploited based on homogeneity and heterogeneous nature for training. The detected…
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