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Semiconductors01:22

Semiconductors

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There is variation in the electrical conductivity of materials - metals, semiconductors, and insulators that are showcased with the help of the energy band diagrams.
Metals such as copper (Cu), zinc (Zn), or lead (Pb) have low resistivity and feature conduction bands that are either not fully occupied or overlap with the valence band, making a bandgap non-existent. This allows electrons in the highest energy levels of the valence band to easily transition to the conduction band upon gaining...
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Intrinsic semiconductors are highly pure materials with no impurities. At absolute zero, these semiconductors behave as perfect insulators because all the valence electrons are bound, and the conduction band is empty, disallowing electrical conduction. The Fermi level is a concept used to describe the probability of occupancy of energy levels by electrons at thermal equilibrium. In intrinsic semiconductors, the Fermi level is positioned at the midpoint of the energy gap at absolute zero. When...
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Metal-Semiconductor Junctions01:24

Metal-Semiconductor Junctions

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The contact of metal and semiconductor can lead to the formation of a junction with either Schottky or Ohmic behavior.
Schottky Barriers
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Energy Bands in Solids

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Isolated atoms have discrete energy levels that are well described by the Bohr model. And, it quantifies the energy of an electron in a hydrogen atom as En. Higher quantum numbers 'n' yield less negative, closer electron energy levels.
 Band Formation:
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Biasing of Metal-Semiconductor Junctions

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Biasing metal-semiconductor junctions involves applying a voltage across the junction. Specifically, the metal is connected to a voltage source, while the semiconductor is grounded. This technique is essential for controlling the direction and magnitude of current flow in electronic devices, including diodes, transistors, and photovoltaic cells.
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Fermi Level Dynamics01:12

Fermi Level Dynamics

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The vacuum level denotes the energy threshold required for an electron to escape from a material surface. It is usually positioned above the conduction band of a semiconductor and acts as a benchmark for comparing electron energies within various materials.
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Indium segregation measured in InGaN quantum well layer.

Zhen Deng1, Yang Jiang1, Wenxin Wang1

  • 1Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China.

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|October 24, 2014
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Summary

Indium segregation in Indium Gallium Nitride (InGaN) layers is confirmed using a novel combined experimental and simulation approach. This method ensures uniform indium distribution, overcoming limitations of traditional techniques for precise content analysis.

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Area of Science:

  • Materials Science
  • Semiconductor Physics
  • Nanotechnology

Background:

  • Indium segregation in Indium Gallium Nitride (InGaN) quantum wells poses challenges for device performance.
  • Traditional methods struggle to accurately quantify indium distribution due to segregation effects.
  • Understanding and controlling indium segregation is crucial for advanced optoelectronic devices.

Purpose of the Study:

  • To confirm and precisely characterize indium segregation in InGaN well layers.
  • To develop and validate a nondestructive method combining experiment and simulation.
  • To achieve uniform indium distribution in InGaN layers through pre-deposition.

Main Methods:

  • Utilized a combined approach of experimental growth and numerical simulation.
  • Employed indium pre-deposition before InGaN well layer growth to prevent atom exchange.
  • Validated experimental findings with consistent numerical simulation results.

Main Results:

  • Confirmed indium segregation in InGaN well layers using the novel combined method.
  • Achieved uniform spatial distribution of indium content with sufficient pre-deposition.
  • Experiment and simulation showed indium content increasing from 16% to a 19% saturation at the upper interface.

Conclusions:

  • The combined experimental and numerical simulation method accurately confirms indium segregation.
  • Indium pre-deposition is an effective strategy for achieving uniform indium distribution in InGaN.
  • This advanced technique provides precise indium content determination, surpassing traditional methods.