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Electron trap states at InGaAs/oxide interfaces under inversion through constant Fermi-level ab initio molecular

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Constant-Fermi-level ab initio molecular dynamics identified new metallic In-In, In-Ga, and Ga-Ga bonds as defects at InGaAs/oxide interfaces. These defects, along with lone pair and dangling bond defects, explain charge trapping during carrier inversion.

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Area of Science:

  • Materials Science
  • Computational Physics
  • Semiconductor Physics

Background:

  • Understanding defects at semiconductor interfaces is crucial for device performance.
  • Indium Gallium Arsenide (InGaAs) is a key material in advanced electronics.
  • Oxide interfaces in InGaAs devices are prone to defect formation impacting carrier behavior.

Purpose of the Study:

  • To investigate defect structures at the InGaAs/oxide interface under inversion conditions using advanced computational methods.
  • To identify novel defect types beyond those predicted by physical intuition.
  • To determine the role of these defects in charge trapping mechanisms.

Main Methods:

  • Constant-Fermi-level ab initio molecular dynamics simulations.
  • Substoichiometric amorphous models for interface structure.
  • Analysis of atomic structure and Wannier decomposition of electronic structure.
  • Hybrid functional scheme for defect charge transition levels.

Main Results:

  • Identified known In and Ga lone-pair defects and As-As dimer/dangling bond defects.
  • Revealed previously unidentified metallic In-In, In-Ga, and Ga-Ga bond defects.
  • Calculated defect charge transition levels for metallic bonds in Al2O3, consistent with experimental data.
  • Validated the effectiveness of the computational approach in defect identification.

Conclusions:

  • Lone pair dangling bonds and metallic In-In bonds are significant candidate defects for charge trapping at InGaAs/oxide interfaces.
  • The constant-Fermi-level ab initio molecular dynamics method is highly effective for defect analysis at semiconductor interfaces.
  • This study provides critical insights into the atomic and electronic origins of defects impacting InGaAs device performance.