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
Measurement System and Testing Procedure for Characterization of the Conversion Accuracy of Voltage-to-Voltage and Voltage-to-Current Integrating Circuits for Rogowski Coils. [PDF]
Kaczmarek M.
europepmc +1 more source
Pitch selectivity in ferret auditory cortex
Tarka VM, Gaucher Q, Walker KMM.
europepmc +1 more source
Multiparametric robust sensing via readout of characteristic magnetization loops. [PDF]
Path MP, Vogel M, McCord J.
europepmc +1 more source
Emergence of Neural Face Selectivity in Infants Younger Than 4 Months Old. [PDF]
Rekow D, Arya T, Bayir DH, Röder B.
europepmc +1 more source
A Dual-Band Bandpass Filter with Wide Upper Stopband Using Stepped-Impedance Resonators and an Integrated Low-Pass Filter. [PDF]
Liu L, Lin Y, Chen Q, Zhang L, Weng M.
europepmc +1 more source
Motion Artifacts Removal from Measured Arterial Pulse Signals at Rest: A Generalized SDOF-Model-Based Time-Frequency Method. [PDF]
Hao Z.
europepmc +1 more source
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Harmonic imaging at high frequencies for IVUS
1999 IEEE Ultrasonics Symposium. Proceedings. International Symposium (Cat. No.99CH37027), 2003The authors investigated the properties of harmonic fields at high frequencies. A 40 MHz focused broadband transducer was excited at 20 and 40 MHz. The response from 20 MHz was measured at 20 and 40 MHz. The response from 40 MHz was determined at 40 MHz.
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