Intelligent Luminescence for Communication Display and Identification

Abstract

A highly integrated, cross-disciplinary research program was conducted to establish the scientific and technological basis for intelligent luminescent materials, devices and systems. Novel luminescent and optical systems were researched to realize a new intelligence modeling methodology: corticonics. Specific achievements include low threshold organic quantum dot emitters, luminescence modification by 3D photonic crystals, beam steering based on a superlattice photonic crystal, optimization of liquid crystal properties, development of optically transparent n- and p-type wide band gap materials and transparent transistors for display applications. It was demonstrated that emissive and active infiltrated photonic crystals, highly transparent conductive materials and nano-structured materials offer the potential for initiating many new device functions. For example, low-threshold tunable sources and detectors, optically and electronically controlled optical switching, beam steering, and bi-stable elements for logic and threshold computing decisions. Also new family of highly nonlinear liquid crystals that exhibit, hi-stability, self-oscillations and. bifurcation were identified as a promising class of materials for implementing and testing the corticonic paradigm. A novel, transparent, thin-film enhancement-mode transistor was reported with ~ 90% visible transparency and an on/off ratio of 10(to the 6th power) for integration into display and identification systems.

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Document Details

Document Type
Technical Report
Publication Date
Jul 18, 2007
Accession Number
ADA572400

Entities

People

  • Christopher J. Summers
  • I. C. Khoo
  • John F. Wager
  • Nabil H. Farhat
  • Paul H. Holloway

Organizations

  • Georgia Tech

Tags

DTIC Thesaurus Topics

  • Chemistry
  • Compound Semiconductors
  • Crystal Structure
  • Crystallography
  • Crystals
  • Electro-Optics
  • Electronics Industry
  • Electronics Laboratories
  • Energy Bands
  • Materials Laboratories
  • Materials Processing
  • Materials Science
  • Optical Properties
  • Optics
  • Power Electronics
  • Semiconductors
  • Solar Cells

Fields of Study

  • Physics

Readers

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

Technology Areas

  • Microelectronics
  • Quantum Computing