Intelligent Neuromorphic Network Based on Carbon Nanotube/Polymer Composite

Abstract

The goal of the project is to develop an intelligent neuromorphic network based on carbon nanotube (CNT) composites to emulate biological neuron networks and create intelligent systems in complex erratic environments. In the last year, we have made progresses in the following categories: (1) Design of the device and circuit architecture of the neuromorphic network; (2) the development and test of novel composites, devices, and fabrication processes of the neuromorphic network; (3) modeling and analysis of the self programming and optimization mechanism of the neuromorphic network; (4) the demonstration of the intelligent behaviors of the neuromorphic network.

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Document Details

Document Type
Technical Report
Publication Date
May 27, 2024
Accession Number
AD1230328

Entities

People

  • Yong Chen

Organizations

  • University of California, Los Angeles

Tags

Readers

  • Artificial Intelligence
  • Computer Networking
  • Nanocomposite Materials Science