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cs.SD2022★ 1 cited
A Generative deep learning approach for shape recognition of arbitrary objects from phaseless acoustic scattering data
W. W. Ahmed, M. Farhat, P. -Y. Chen +2
We propose and demonstrate a generative deep learning approach for the shape recognition of an arbitrary object from its acoustic scattering properties. The strategy exploits deep…
physics.optics2022
Machine learning for knowledge acquisition and accelerated inverse-design for non-Hermitian systems
W. W. Ahmed, M. Farhat, K. Staliunas +2
Non-Hermitian systems offer new platforms for unusual physical properties that can be flexibly manipulated by redistribution of the real and imaginary parts of refractive indices,…