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20142023
most citedProgramming Nonlinear Propagation for Efficient Optical Learning Machines

4 citations · 7 across the 4 of their papers we have counts for

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physics.optics2024

Wave optical model for tomographic volumetric additive manufacturing

Felix Wechsler, Carlo Gigli, Jorge Madrid-Wolff +1

Tomographic Volumetric Additive Manufacturing (TVAM) allows printing of mesoscopic objects within seconds or minutes. Tomographic patterns are illuminated onto a rotating glass via…

physics.optics2024

Programming the scalable optical learning operator with spatial-spectral optimization

Yi Zhou, Jih-Liang Hsieh, Ilker Oguz +6

Electronic computers have evolved drastically over the past years with an ever-growing demand for improved performance. However, the transfer of information from memory and high en…

physics.optics20243 cited

Multicasting Optical Reconfigurable Switch

Niyazi Ulas Dinc, Mustafa Yildirim, Ilker Oguz +2

Artificial Intelligence (AI) demands large data flows within datacenters, heavily relying on multicasting data transfers. As AI models scale, the requirement for high-bandwidth and…

physics.optics20247 cited

Holographic Volumetric Additive Manufacturing

Maria I. Álvarez-Castaño, Andreas Gejl Madsen, Jorge Madrid-Wolff +3

3D printing has revolutionized the manufacturing of volumetric components and structures in many areas. Different technologies have been developed including light-induced technique…

physics.optics2023

Volume holograms with linear diffraction efficiency relation by (3+1)D printing

Niyazi Ulas Dinc, Christophe Moser, Demetri Psaltis

We demonstrate the fabrication of volume holograms using 2-photon polymerization with dynamic control of light exposure. We refer to our method as (3+1)D printing. Volume holograms…

physics.optics20223 cited

Nonlinear Optical Data Transformer for Machine Learning

Mustafa Yildirim, Ilker Oguz, Fabian Kaufmann +4

Modern machine learning models use an ever-increasing number of parameters to train (175 billion parameters for GPT-3) with large datasets to obtain better performance. Bigger is b…