69 citations · 146 across the 6 of their papers we have counts for
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cond-mat.mes-hall2022★ 20 cited
Monitoring MBE substrate deoxidation via RHEED image-sequence analysis by deep learning
Abdourahman Khaireh-Walieh, Alexandre Arnoult, Sébastien Plissard +1
Reflection high-energy electron diffraction (RHEED) is a powerful tool in molecular beam epitaxy (MBE), but RHEED images are often difficult to interpret, requiring experienced ope…
physics.optics2022★ 21 cited
Inverse design with flexible design targets via deep learning: Tailoring of electric and magnetic multipole scattering from nano-spheres
Ana Estrada-Real, Abdourahman Khaireh-Walieh, Bernhard Urbaszek +1
Deep learning is a promising, ultra-fast approach for inverse design in nano-optics, but despite fast advancement of the field, the computational cost of dataset generation, as wel…