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20222026
most citedCoherence Awareness in Diffractive Neural Networks

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

physics.optics2026★ 1 cited

Illumination Angular Spectrum Encoding for Controlling the Functionality of Diffractive Networks

Matan Kleiner, Lior Michaeli, Tomer Michaeli

Diffractive neural networks have recently emerged as a promising framework for all-optical computing. However, these networks are typically trained for a single task, limiting thei…

physics.optics2024★ 4 cited

Coherence Awareness in Diffractive Neural Networks

Matan Kleiner, Lior Michaeli, Tomer Michaeli

Diffractive neural networks hold great promise for applications requiring intensive computational processing. Considerable attention has focused on diffractive networks for either…

physics.optics2024

Direct Radiation Pressure Measurements for Lightsail Membranes

Lior Michaeli, Ramon Gao, Michael D. Kelzenberg +4

Ultrathin lightsails propelled by laser radiation pressure to relativistic speeds are currently the most promising route for flyby-based exoplanet exploration. However, there has b…

physics.optics2023

Third harmonic generation enhancement and wavefront control using a local high-Q metasurface

Claudio U. Hail, Lior Michaeli, Harry A. Atwater

High quality factor optical nanostructures provide great opportunity to enhance nonlinear optical processes such as third harmonic generation. However, the field enhancement in the…

physics.optics2022

Rayleigh Anomaly Induced Phase Gradients in Finite Nanoparticle Chains

Lior Michaeli, Ofer Doron, Yakir Hadad +2

We report on the theoretical study of anomalous phase gradients induced by Rayleigh anomalies in finite nanoparticle chains. These phase gradients, defined with respect to the phas…