Neuromorphic Computing: Memristors for Energy-Efficient New...

Advanced Electronic Materials 2016 / 09 Vol. 2; Iss. 9

Neuromorphic Computing: Memristors for Energy-Efficient New Computing Paradigms (Adv. Electron. Mater. 9/2016)

Jeong, Doo Seok, Kim, Kyung Min, Kim, Sungho, Choi, Byung Joon, Hwang, Cheol Seong
How much do you like this book?
What’s the quality of the file?
Download the book for quality assessment
What’s the quality of the downloaded files?
Volume:
2
Journal:
Advanced Electronic Materials
DOI:
10.1002/aelm.201670051
Date:
September, 2016
File:
PDF, 2.48 MB
2016
Conversion to is in progress
Conversion to is failed