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Noninvasive and Contactless Characterization of Electronic Properties at the Semiconductor/Dielectric Interface Using Optical Second-Harmonic Generation.
Mallick, Binit; Saha, Dipankar; Datta, Anindya; Ganguly, Swaroop.
Afiliación
  • Mallick B; Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India.
  • Saha D; Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India.
  • Datta A; Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India.
  • Ganguly S; Department of Chemistry, Indian Institute of Technology Bombay, Mumbai 400076, India.
ACS Appl Mater Interfaces ; 15(32): 38888-38900, 2023 Aug 16.
Article en En | MEDLINE | ID: mdl-37539844
Optical second-harmonic generation (SHG) is a reliable technique for probing material surface and interface characteristics. Here, we have demonstrated a non-destructive, contactless SHG-based semiconductor/dielectric interface characterization method to measure the conduction band offset and quantitatively evaluate charge densities at the interface in oxide and at the oxide surface. This technique extracts the interface-trapped charge type (donor/acceptor) and qualitatively analyzes the process-induced variation in interface states (Dit), oxide, and oxide surface state density. These qualitative and quantitative analyses provide us with a glimpse into the band bending. The metrology method is validated through a detailed characterization of the Si/HfO2 interface. An optical setup has been developed to monitor the time-dependent second-harmonic generation (TDSHG) from the semiconductor/oxide interface. The temporal characteristics of TDSHG are explained with its relationship to the filling of Dit and spatio-temporal trapping of photoexcited charge in oxide and at the oxide surface. A numerical solver, based on plausible carrier dynamics, is used to model the experimental data and to extract the electronic properties at the Si/HfO2 interface.
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: ACS Appl Mater Interfaces Asunto de la revista: BIOTECNOLOGIA / ENGENHARIA BIOMEDICA Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: ACS Appl Mater Interfaces Asunto de la revista: BIOTECNOLOGIA / ENGENHARIA BIOMEDICA Año: 2023 Tipo del documento: Article