activity
20122020
most citedMisalignment Resilient Diffractive Optical Networks

156 citations · 161 across the 3 of their papers we have counts for

collaborators

8 papers

physics.optics2020

Terahertz Pulse Shaping Using Diffractive Surfaces

Muhammed Veli, Deniz Mengu, Nezih T. Yardimci +5

Recent advances in deep learning have been providing non-intuitive solutions to various inverse problems in optics. At the intersection of machine learning and optics, diffractive…

eess.IV2020156 cited

Misalignment Resilient Diffractive Optical Networks

Deniz Mengu, Yifan Zhao, Nezih T. Yardimci +3

As an optical machine learning framework, Diffractive Deep Neural Networks (D2NN) take advantage of data-driven training methods used in deep learning to devise light-matter intera…

cs.CV2020

Spectrally-Encoded Single-Pixel Machine Vision Using Diffractive Networks

Jingxi Li, Deniz Mengu, Nezih T. Yardimci +6

3D engineering of matter has opened up new avenues for designing systems that can perform various computational tasks through light-matter interaction. Here, we demonstrate the des…

physics.app-ph2019

Picosecond spin-orbit torque switching of ferrimagnets

Hao Wu, Deniz Turan, Quanjun Pan +6

Spintronics provides an efficient platform for realizing non-volatile memory and logic devices. In these systems, data is stored in the magnetization of magnetic materials, and mag…

cs.NE2019

Design of Task-Specific Optical Systems Using Broadband Diffractive Neural Networks

Yi Luo, Deniz Mengu, Nezih T. Yardimci +4

We report a broadband diffractive optical neural network design that simultaneously processes a continuum of wavelengths generated by a temporally-incoherent broadband source to al…

astro-ph.IM2019

Response to 'Room Temperature, Quantum-Limited THz Heterodyne Detection? Not Yet'

Mona Jarrahi, Yen-Ju Lin

This commentary is written in response to arXiv:1907.13198. In this article, Zmuidzinas et al. raise questions about the results reported by our group in Nature Astronomy (DOI: 10.…