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Pulse Generation Behavior of Single-Walled Carbon Nanotube/Polyoxometalate Complex Random Network

4 pagesPublished: May 14, 2020

Abstract

Replacing von-Neumann architecture with walled carbon nanotube (SWNT) with new neuromorphic chips is vital for computers to perform polyoxometalate POM) ion ([SV2W10O40 ]H4TPP) complex cognitive problem with low power and see the effect of higher POM concentration. We consume like our brain. The synaptic part of the use simple sonication method for SWNT/POM brain has been well studied via memristors but fabrication and study the spiking and spike time research on the artificial neurons is only limited to high interval behavior via electrical measurements. The power CMOS circuitry. Following the previous work, results show that the device can behave as an artificial by H. Tanaka et al.[2] herein we functionalize single neuron even at low voltages and hence can be used for low power neuromorphic computing.

Keyphrases: brain inspired computing, cmos, polyoxometalate, single walled carbon nanotubes, von neumann architecture

In: Tich Thien Truong, Trung Nghia Tran, Quoc Khai Le and Thanh Nha Nguyen (editors). Proceedings of International Symposium on Applied Science 2019, vol 3, pages 150-153.

BibTeX entry
@inproceedings{ISAS2019:Pulse_Generation_Behavior_Single,
  author    = {Deep Banerjee and Yu Xinguang and Hernowo Detiza Goldianto Octensi and Hirofumi Tanaka and Yoshito Yamazaki and Takuji Ogawa},
  title     = {Pulse Generation Behavior of Single-Walled Carbon Nanotube/Polyoxometalate Complex Random Network},
  booktitle = {Proceedings of International Symposium on Applied Science 2019},
  editor    = {Tich Thien Truong and Trung Nghia Tran and Quoc Khai Le and Thanh Nha Nguyen},
  series    = {Kalpa Publications in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1770},
  url       = {/publications/paper/1WzB},
  doi       = {10.29007/qr13},
  pages     = {150-153},
  year      = {2020}}
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