CMOS-Compatible Protonic Programmable Resistor Based on Phosphosilicate Glass Electrolyte for Analog Deep Learning-Reference-Cited by-同舟云学术

CMOS-Compatible Protonic Programmable Resistor Based on Phosphosilicate Glass Electrolyte for Analog Deep Learning

Published:2021-07-07 Issue:14 Volume:21 Page:6111-6116
ISSN:1530-6984
Container-title:Nano Letters
language:en
Short-container-title:Nano Lett.

Author:

Onen Murat¹²^ORCID,Emond Nicolas²³,Li Ju²³⁴^ORCID,Yildiz Bilge²³⁴^ORCID,del Alamo Jesús A.¹²

Affiliation:

1. Microsystems Technology Laboratories, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States

2. MIT-IBM Watson AI Lab, 75 Binney Street, Cambridge, Massachusetts 02142, United States

3. Department of Materials Science and Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States

4. Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States

Funder

Fonds de Recherche du Qu??bec - Nature et Technologies

MIT-IBM Watson AI Research Lab

Publisher

American Chemical Society (ACS)

Subject

Mechanical Engineering,Condensed Matter Physics,General Materials Science,General Chemistry,Bioengineering

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.nanolett.1c01614

Reference39 articles.

1. Deep learning

2. Energy and Policy Considerations for Deep Learning in NLP