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20182022
most citedAll-Chalcogenide Programmable All-Optical Deep Neural Networks

2 citations · 4 across the 9 of their papers we have counts for

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physics.optics2022

Low energy switching of phase change materials using a 2D thermal boundary layer

Jing Ning, Yunzheng Wang, Ting Yu Teo +7

The switchable optical and electrical properties of phase change materials (PCMs) are finding new applications beyond data storage in reconfigurable photonic devices. However, high…

physics.optics20211 cited

Tunable Mie Resonances in the Visible Spectrum

Li Lu, Zhaogang Dong, Febiana Tijiptoharsono +7

Dielectric optical nanoantennas play an important role in color displays, metasurface holograms, and wavefront shaping applications. They usually exploit Mie resonances as supporte…

physics.optics2021

Multi-spectral programmable absorbers

Yun Meng, Dan Li, Chong Zhang +3

We designed and demonstrated a multi-spectral programmable perfect absorber that exploits two different phase-change materials. This programmability is possible by resonantly coupl…

physics.optics2021

A comparison of phase change materials in reconfigurable silicon photonic directional couplers

Ting Yu Teo, Milos Krbal, Jan Mistrik +3

The unique optical properties of phase change materials (PCMs) can be exploited to develop efficient reconfigurable photonic devices. Here, we design, model, and compare the perfor…

physics.optics20212 cited

All-Chalcogenide Programmable All-Optical Deep Neural Networks

Ting Yu, Xiaoxuan Ma, Ernest Pastor +5

Deeplearning algorithms are revolutionising many aspects of modern life. Typically, they are implemented in CMOS-based hardware with severely limited memory access times and ineffi…

physics.optics2020

Phase Change Material Photonics

Robert E. Simpson, Tun Cao

In the last decade phase change materials (PCM) research has switched from practical application in optical data storage toward electrical phase change random access memory technol…