A convolutional neural network trained on simulated scattering events can estimate the geometry of a subwavelength dimer from far-field intensity patterns with claimed precision below λ/200 under superoscillatory illumination.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.optics 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Unlabelled Far-field Deeply Subwavelength Superoscillatory Imaging (DSSI)
A convolutional neural network trained on simulated scattering events can estimate the geometry of a subwavelength dimer from far-field intensity patterns with claimed precision below λ/200 under superoscillatory illumination.