DeepF-fNet uses two convolutional networks plus a shift-and-scale routine to estimate locally resonant metamaterial parameters that place a vibration bandgap on a user-specified frequency.
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DeepF-fNet: a physics-informed neural network for vibration isolation optimization
DeepF-fNet uses two convolutional networks plus a shift-and-scale routine to estimate locally resonant metamaterial parameters that place a vibration bandgap on a user-specified frequency.