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Leveraging long short-term memory (LSTM)-based neural networks for modeling structure-property relationships of
Prajith Pillai1, Parama Pal2, Rinu Chacko1
1TCS Research, Tata Consultancy Services, Mumbai, India.
Scientific Reports
|September 21, 2021
Abstract:
We report a neural network model for predicting the electromagnetic response of mesoscale metamaterials as well as generate design parameters for a desired spectral behavior. Our approach entails treating spectral data as time-varying sequences and the inverse problem as a single-input multiple output model, thereby compelling the network architecture to learn the geometry of the metamaterial designs from the spectral data in lieu of abstract features.
