Magnetic Manaelctronics for Brain-Inspired Computing (MN-BRIC): From Circuit Models to Full System Architecture Simulations

Abstract

This fundamental research will use detailed modeling and simulation to evaluate the viability of antiferromagnetic (AFM) materials and devices for fabrication of electronic neurons and synapses in a braininspired architecture. AFM materials have a unique ability to mimic neurosynaptic dynamics of biological neurons in hardware, potentially opening a new artificial intelligence (AI) paradigm endowed with realtime learning, adaptation, and prediction. Such brain-inspired AI hardware can be used in remote, edge computing environments with size, weight, and power (SWaP) constraints.

Document Details

Document Type
DoD Grant Award
Publication Date
Jan 27, 2022
Source ID
FA87502111010

Entities

People

  • Christopher D. Carothers

Organizations

  • Rensselaer Polytechnic Institute
  • Rome Laboratory
  • United States Air Force

Tags

Readers

  • Distributed Systems and Data Platform Development
  • Nanoscale Plasmonic Nanotechnology
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • Microelectronics