Artificial Biphasic Synapses Based on Nonvolatile Phase‐Change Photonic Memory Cells-Reference-Cited by-同舟云学术

Artificial Biphasic Synapses Based on Nonvolatile Phase‐Change Photonic Memory Cells

Published:2022-04-27 Issue:9 Volume:16 Page:2100487
ISSN:1862-6254
Container-title:physica status solidi (RRL) – Rapid Research Letters
language:en
Short-container-title:Physica Rapid Research Ltrs

Author:

Zhou Wen¹^ORCID,Farmakidis Nikolaos¹,Li Xuan¹,Tan James¹,Aggarwal Samarth¹,Feldmann Johannes¹,Brückerhoff-Plückelmann Frank²,David Wright C.³,Pernice Wolfram H. P.²⁴,Bhaskaran Harish¹

Affiliation:

1. Department of Materials University of Oxford Parks Road OX1 3PH Oxford UK

2. Institute of Physics University of Münster Heisenbergstr. 11 48149 Münster Germany

3. Department of Engineering University of Exeter Exeter EX4 4QF UK

4. Heidelberg University Kirchhoff‐Institute for Physics Im Neuenheimer Feld 227 69120 Heidelberg Germany

Publisher

Wiley

Subject

Condensed Matter Physics,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pssr.202100487

Reference36 articles.

1. Integrated all-photonic non-volatile multi-level memory

2. Designing crystallization in phase-change materials for universal memory and neuro-inspired computing

3. In-memory computing on a photonic platform

4. Parallel convolutional processing using an integrated photonic tensor core

5. Device-Level Photonic Memories and Logic Applications Using Phase-Change Materials

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