Reliable Memristive Synapses Based on Parylene-MoO<sub><i>x</i></sub> Nanocomposites for Neuromorphic Applications-Reference-Cited by-同舟云学术

Reliable Memristive Synapses Based on Parylene-MoO_x Nanocomposites for Neuromorphic Applications

Published:2023-11-14 Issue:47 Volume:15 Page:54996-55008
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Minnekhanov Anton¹^ORCID,Matsukatova Anna¹²^ORCID,Trofimov Andrey¹³^ORCID,Nesmelov Alexander¹^ORCID,Zavyalov Sergey¹,Demin Vyacheslav¹³,Emelyanov Andrey¹³^ORCID

Affiliation:

1. National Research Centre Kurchatov Institute, Moscow 123182, Russia

2. Lomonosov Moscow State University, Moscow 119991, Russia

3. Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Moscow 141701, Russia

Funder

Russian Science Foundation

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.3c13956

Reference70 articles.

1. Memristive Synapses for Brain-Inspired Computing

2. Roadmap on emerging hardware and technology for machine learning

3. Neuromorphic electronics based on copying and pasting the brain

4. Brain-inspired computing with memristors: Challenges in devices, circuits, and systems

5. A compute-in-memory chip based on resistive random-access memory

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