Neural networks for inverse design of phononic crystals
Intelligent design of one-dimensional (1D) phononic crystals (PCs) by neural networks (NNs) is proposed. Two neural network models, supervised neural network (S-NN) and unsupervised neural network (U-NN), are used to realize the inverse design of PCs, concerning both geometric and physical parameter...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2019-08-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/1.5114643 |