Recent advances and future prospects for memristive materials, devices, and systems

MK Song, JH Kang, X Zhang, W Ji, A Ascoli… - ACS …, 2023 - ACS Publications
Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …

Recent progress in silicon‐based photonic integrated circuits and emerging applications

Z Xiao, W Liu, S Xu, J Zhou, Z Ren… - Advanced Optical …, 2023 - Wiley Online Library
In recent years, with the further ministration of the semiconductor device in integrated
circuits, power consumption and data transmission bandwidth have become insurmountable …

Multimodal deep learning using on-chip diffractive optics with in situ training capability

J Cheng, C Huang, J Zhang, B Wu, W Zhang… - Nature …, 2024 - nature.com
Multimodal deep learning plays a pivotal role in supporting the processing and learning of
diverse data types within the realm of artificial intelligence generated content (AIGC) …

Non‐Volatile Optical Switch Element Enabled by Low‐Loss Phase Change Material

X Yang, L Lu, Y Li, Y Wu, Z Li, J Chen… - Advanced Functional …, 2023 - Wiley Online Library
Abstract Mach–Zehnder interferometers (MZIs) integrated with phase‐change materials
have attracted great interest due to their low power consumption and ultra‐compact size …

[HTML][HTML] Electrically programmable phase-change photonic memory for optical neural networks with nanoseconds in situ training capability

M Wei, J Li, Z Chen, B Tang, Z Jia, P Zhang… - Advanced …, 2023 - spiedigitallibrary.org
Optical neural networks (ONNs), enabling low latency and high parallel data processing
without electromagnetic interference, have become a viable player for fast and energy …

Learning in ensembles of proteinoid microspheres

P Mougkogiannis, A Adamatzky - Royal Society Open …, 2023 - royalsocietypublishing.org
Proteinoids are thermal proteins which form microspheres in water in the presence of salt.
Ensembles of proteinoid microspheres exhibit passive nonlinear electrical properties and …

Antimony as a programmable element in integrated nanophotonics

S Aggarwal, T Milne, N Farmakidis, J Feldmann… - Nano Letters, 2022 - ACS Publications
The use of nonlinear elements with memory as photonic computing components has seen a
huge surge in interest in recent years with the rise of artificial intelligence and machine …

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 …

Reduced rank photonic computing accelerator

S Aggarwal, B Dong, J Feldmann, N Farmakidis… - Optica, 2023 - opg.optica.org
Use of artificial intelligence for tasks such as image classification and speech recognition
has started to form an integral part of our lives. Facilitation of such tasks requires processing …

Seven bit nonvolatile electrically programmable photonics based on phase-change materials for image recognition

J Xia, T Wang, Z Wang, J Gong, Y Dong, R Yang… - ACS …, 2024 - ACS Publications
With the rapid development of the Internet of Things, how to efficiently store, transmit, and
process massive amounts of data has become a major challenge now. Optical neural …