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20112023
most citedAll-Optical Machine Learning Using Diffractive Deep Neural Networks

2.6k citations · 4.7k across the 29 of their papers we have counts for

collaborators

29 papers

physics.optics2023★ 60 cited

All-optical image denoising using a diffractive visual processor

Cagatay Isıl, Tianyi Gan, F. Onuralp Ardic +9

Image denoising, one of the essential inverse problems, targets to remove noise/artifacts from input images. In general, digital image denoising algorithms, executed on computers,…

physics.optics2023★ 68 cited

Plasmonic photoconductive terahertz focal-plane array with pixel super-resolution

Xurong Li, Deniz Mengu, Aydogan Ozcan +1

Imaging systems operating in the terahertz part of the electromagnetic spectrum are in great demand because of the distinct characteristics of terahertz waves in penetrating many o…

physics.optics2023★ 24 cited

Broadband nonlinear modulation of incoherent light using a transparent optoelectronic neuron array

Dehui Zhang, Dong Xu, Yuhang Li +14

Nonlinear optical processing of ambient natural light is highly desired in computational imaging and sensing applications. A strong optical nonlinear response that can work under w…

physics.optics2023★ 37 cited

Learning Diffractive Optical Communication Around Arbitrary Opaque Occlusions

Md Sadman Sakib Rahman, Tianyi Gan, Emir Arda Deger +3

Free-space optical systems are emerging for high data rate communication and transfer of information in indoor and outdoor settings. However, free-space optical communication becom…

physics.optics2023★ 41 cited

Universal Polarization Transformations: Spatial programming of polarization scattering matrices using a deep learning-designed diffractive polarization transformer

Yuhang Li, Jingxi Li, Yifan Zhao +4

We demonstrate universal polarization transformers based on an engineered diffractive volume, which can synthesize a large set of arbitrarily-selected, complex-valued polarization…

physics.optics2023★ 20 cited

Optical information transfer through random unknown diffusers using electronic encoding and diffractive decoding

Yuhang Li, Tianyi Gan, Bijie Bai +3

Free-space optical information transfer through diffusive media is critical in many applications, such as biomedical devices and optical communication, but remains challenging due…

physics.optics2023★ 73 cited

Rapid Sensing of Hidden Objects and Defects using a Single-Pixel Diffractive Terahertz Processor

Jingxi Li, Xurong Li, Nezih T. Yardimci +6

Terahertz waves offer numerous advantages for the nondestructive detection of hidden objects/defects in materials, as they can penetrate through most optically-opaque materials. Ho…

physics.optics2022★ 110 cited

Snapshot Multispectral Imaging Using a Diffractive Optical Network

Deniz Mengu, Anika Tabassum, Mona Jarrahi +1

Multispectral imaging has been used for numerous applications in e.g., environmental monitoring, aerospace, defense, and biomedicine. Here, we present a diffractive optical network…

physics.optics2022★ 57 cited

Unidirectional Imaging using Deep Learning-Designed Materials

Jingxi Li, Tianyi Gan, Yifan Zhao +5

A unidirectional imager would only permit image formation along one direction, from an input field-of-view (FOV) A to an output FOV B, and in the reverse path, the image formation…

physics.optics2022★ 23 cited

Coherent terahertz radiation with 2.8-octave tunability through chip-scale photomixed microresonator optical parametric oscillation

Wenting Wang, Ping-Keng Lu, Abhinav Kumar Vinod +7

High spectral purity frequency agile room temperature sources in the terahertz spectrum are foundational elements for imaging, sensing, metrology, and communications. Here we prese…

physics.optics2022★ 1 cited

Diffractive Interconnects: All-Optical Permutation Operation Using Diffractive Networks

Deniz Mengu, Yifan Zhao, Anika Tabassum +2

Permutation matrices form an important computational building block frequently used in various fields including e.g., communications, information security and data processing. Opti…

physics.optics2022★ 88 cited

To image, or not to image: Class-specific diffractive cameras with all-optical erasure of undesired objects

Bijie Bai, Yi Luo, Tianyi Gan +6

Privacy protection is a growing concern in the digital era, with machine vision techniques widely used throughout public and private settings. Existing methods address this growing…

physics.optics2021★ 176 cited

Computational Imaging Without a Computer: Seeing Through Random Diffusers at the Speed of Light

Yi Luo, Yifan Zhao, Jingxi Li +4

Imaging through diffusers presents a challenging problem with various digital image reconstruction solutions demonstrated to date using computers. We present a computer-free, all-o…

physics.optics2020★ 31 cited

Wavelength conversion through plasmon-coupled surface states

Deniz Turan, Ping Keng Lu, Nezih T. Yardimci +7

Surface states generally degrade semiconductor device performance by raising the charge injection barrier height, introducing localized trap states, inducing surface leakage curren…

physics.optics2020★ 178 cited

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.IV2020★ 156 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★ 220 cited

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★ 291 cited

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.…

physics.optics2019★ 12 cited

Plasmonic Heterodyne Spectrometry for Resolving the Spectral Signatures of Ammonia over a 1-5 THz Frequency Range

Yen-Ju Lin, Semih Cakmakyapan, Ning Wang +3

We present a heterodyne terahertz spectrometry platform based on plasmonic photomixing, which enables the resolution of narrow spectral signatures of gases over a broad terahertz f…

physics.ins-det2018★ 93 cited

Room Temperature Terahertz Spectrometer with Quantum-Level Sensitivity

Ning Wang, Semih Cakmakyapan, Yen-Ju Lin +2

Photon detection with quantum-level sensitivity is particularly challenging in the terahertz regime (0.1-10 THz), which contains ~98% of all the photons existing in the universe. N…

cs.NE2018★ 2.6k cited

All-Optical Machine Learning Using Diffractive Deep Neural Networks

Xing Lin, Yair Rivenson, Nezih T. Yardimci +3

We introduce an all-optical Diffractive Deep Neural Network (D2NN) architecture that can learn to implement various functions after deep learning-based design of passive diffractiv…

physics.app-ph2017★ 194 cited

Gold-Patched Graphene Nanoribbons for High-Responsivity and Ultrafast Photodetection from Visible to Infrared Regimes

Semih Cakmakyapan, Ping Keng Lu, Aryan Navabi +1

Graphene is a very attractive material for broadband photodetection in hyperspectral imaging and sensing systems. However, its potential use has been hindered by tradeoffs between…