TQUID Magnetometer and Artificial Neural Circuitry Based on a Topological Kondo Insulator

Abstract

This program focuses on experimental and theoretical investigations of a newly discovered class of materials topological Kondo insulators that have been theoretically predicted and experimentally discovered in Samarium hexaboride. The success of the first part of the proposed research project will result in an ultrasensitive TQUID magnetometer with fT magnetic field sensitivity, rivaling that of superconducting interference device (SQUID). Advantageous to cryogenic SQUID, a TQUID can potentially be constructed with room- temperature topological insulator materials. The success of the second part of the proposed research project will result in a new strategy for constructing artificial neuristor and neural network. The theoretical part of the proposed work will lead to a microscopic theory of electron interference, thermal transport and electron transport in a correlated topological surface state.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 2016
Accession Number
AD1009372

Entities

People

  • Jing Xia
  • Victor Galitski
  • Zach Fisk

Organizations

  • University of California, Irvine

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Detectors
  • Dielectrics
  • Electrons
  • Fabrication
  • Fermi Surfaces
  • Laboratory Magnetometers
  • Magnetic Fields
  • Magnetometers
  • Materials
  • Measurement
  • Radio Frequency
  • Scattering
  • Subatomic Particles
  • Two Dimensional
  • X-Ray Computed Tomography

Fields of Study

  • Physics

Readers

  • Neural Network Machine Learning.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Microelectronics
  • Microelectronics - Graphene