Semantic Scholar Open Access 2018 493 sitasi

Review of memristor devices in neuromorphic computing: materials sciences and device challenges

Yibo Li Zhongrui Wang Rivu Midya Qiangfei Xia J. Yang

Abstrak

The memristor is considered as the one of the promising candidates for next generation computing systems. Novel computing architectures based on memristors have shown great potential in replacing or complementing conventional computing platforms based on the von Neumann architecture which faces challenges in the big-data era such as the memory wall. However, there are a number of technical challenges in implementing memristor based computing. In this review, we focus on the research performed on the memristor material stacks and their compatibility with CMOS processes, the electrical performance, and the integration. In addition, recent demonstrations of neuromorphic computing using memristors are surveyed.

Topik & Kata Kunci

Penulis (5)

Y

Yibo Li

Z

Zhongrui Wang

R

Rivu Midya

Q

Qiangfei Xia

J

J. Yang

Format Sitasi

Li, Y., Wang, Z., Midya, R., Xia, Q., Yang, J. (2018). Review of memristor devices in neuromorphic computing: materials sciences and device challenges. https://doi.org/10.1088/1361-6463/aade3f

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Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
493×
Sumber Database
Semantic Scholar
DOI
10.1088/1361-6463/aade3f
Akses
Open Access ✓