On-chip integrated photonic devices based on phase change materials

MS Nisar, X Yang, L Lu, J Chen, L Zhou - Photonics, 2021 - mdpi.com
Phase change materials present a unique type of materials that drastically change their
electrical and optical properties on the introduction of an external electrical or optical …

Computing of neuromorphic materials: an emerging approach for bioengineering solutions

C Prakash, LR Gupta, A Mehta, H Vasudev… - Materials …, 2023 - pubs.rsc.org
The potential of neuromorphic computing to bring about revolutionary advancements in
multiple disciplines, such as artificial intelligence (AI), robotics, neurology, and cognitive …

An integrated photonics engine for unsupervised correlation detection

S Ghazi Sarwat, F Brückerhoff-Plückelmann… - Science …, 2022 - science.org
With more and more aspects of modern life and scientific tools becoming digitized, the
amount of data being generated is growing exponentially. Fast and efficient statistical …

Spike-based information encoding in vertical cavity surface emitting lasers for neuromorphic photonic systems

M Hejda, J Robertson, J Bueno… - Journal of Physics …, 2020 - iopscience.iop.org
The ongoing growth of use-cases for artificial neural networks (ANNs) fuels the search for
new, tailor-made ANN-optimized hardware. Neuromorphic (brain-like) computers are among …

Rigorous dynamic model of a silicon ring resonator with phase change material for a neuromorphic node

A Lugnan, S García-Cuevas Carrillo, CD Wright… - Optics …, 2022 - opg.optica.org
The photonics platform has been considered increasingly promising for neuromorphic
computing, due to its potential in providing low latency and energy efficient large-scale …

Supervised learning and pattern recognition in photonic spiking neural networks based on MRR and phase-change materials

YN Zhang, SY Xiang, YN Han, XX Guo, YH Zhang… - Optics …, 2023 - Elsevier
Traditional computers are limited by the separation of memory and processor units, is
difficult to achieve fast, efficient, and low-power computing. While photonic spiking neural …

Artificial optoelectronic spiking neuron based on a resonant tunnelling diode coupled to a vertical cavity surface emitting laser

M Hejda, E Malysheva, D Owen-Newns… - …, 2023 - degruyter.com
Excitable optoelectronic devices represent one of the key building blocks for implementation
of artificial spiking neurons in neuromorphic (brain-inspired) photonic systems. This work …

Hybrid integrated photonic platforms: opinion

SJB Yoo - Optical Materials Express, 2021 - opg.optica.org
While photonic integration has made remarkable progress in recent years, there is no one
integrated photonic platform that offers all desired functionalities and manufacturability on …

Architecting optically controlled phase change memory

A Narayan, Y Thonnart, P Vivet, A Coskun… - ACM Transactions on …, 2022 - dl.acm.org
Phase Change Memory (PCM) is an attractive candidate for main memory, as it offers non-
volatility and zero leakage power while providing higher cell densities, longer data retention …

OML-PCM: optical multi-level phase change memory architecture for embedded computing systems

M Mohseni, AH Novin - Engineering Research Express, 2023 - iopscience.iop.org
Abstract Unlike Dynamic Random Access Memory (DRAM), Phase Change Memory (PCM)
offers higher density, longer data retention, and improved scalability because of its non …