Rapid Identification of Optimal Dopants for Silicon Based Broadband Infrared Detectors via Quantum Mechanical Simulation

Abstract

We report our results of a systematic computational investigation to reveal the origin of and limitations to the subband gap optical absorption of Au-hyperdoped silicon. Doping silicon with non-equilibrium concentrations of atoms (hyper-doping) yields strong optical absorption reaching out to wavelengths in the short and towards the mid infrared regime. Despite this, in gold-hyperdoped materials photodiode response is weak and device quantum efficiencies are low. First-principles density functional theory was used to determine realistic defect structures of silicon hyperdoped with gold, and establish how the electronic structure of the material evolves with increasing defect concentration. The optical absorption of the material as a function of dopant concentration was be determined, and the reason for limited absorption identified as defect deactivation resulting from formation of defect clusters and precipitates. The proposed work complements currently on-going experimental efforts at ARDEC Benet Labs and U Dayton at synthesis and characterization of gold-hyperdoped silicon materials. The work will lay the foundation for further design and optimization of hyper-doped silicon materials as potential electronic sensors for the SWIR to the MWIR regime.

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Document Details

Document Type
Technical Report
Publication Date
Jan 24, 2017
Accession Number
AD1058828

Entities

People

  • Elif Ertekin

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Absorption Coefficients
  • Band Gaps
  • Band Structures
  • Density Functional Theory
  • Department Of Defense
  • Detectors
  • Energy Bands
  • Engineering
  • Infrared Detectors
  • Materials
  • Materials Science
  • Optical Absorption
  • Optical Properties
  • Photodetectors
  • Quantum Efficiency
  • Simulations
  • Students

Fields of Study

  • Materials science

Readers

  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.
  • Research Science/Academic Research
  • Semiconductor Device Technology

Technology Areas

  • Directed Energy
  • Microelectronics
  • Quantum Computing