Graded layers are widely exploited in semiconductor epitaxy as they typically display lower threading dislocation density with respect to constant-composition layers. However, strain relaxation occurs via a rather complex distribution of misfit dislocations. Here we exploit a suitable computational approach to investigate dislocation distributions minimizing the elastic energy in overcritical constant-composition and graded layers. Predictions are made for SiGe/Si systems, but the methodology, based on the exact (albeit in two dimensions and within linear elasticity theory) solution of the stress field associated with a periodic distribution of defects, is general. Results are critically compared with experiments, when possible, and with a previous mean-field model. A progressive transition from one-dimensional to two-dimensional distributions of defects when continuous linear grading is approached is clearly observed. Interestingly, analysis of the low-energy distribution of dislocations reveals close analogies with typical pile-ups as produced by dislocation multiplication.

Lanzoni, D., Rovaris, F., Montalenti, F. (2020). Computational analysis of low-energy dislocation configurations in graded layers. CRYSTALS, 10(8), 1-23 [10.3390/cryst10080661].

Computational analysis of low-energy dislocation configurations in graded layers

Lanzoni D.;Rovaris F.
;
Montalenti F.
2020

Abstract

Graded layers are widely exploited in semiconductor epitaxy as they typically display lower threading dislocation density with respect to constant-composition layers. However, strain relaxation occurs via a rather complex distribution of misfit dislocations. Here we exploit a suitable computational approach to investigate dislocation distributions minimizing the elastic energy in overcritical constant-composition and graded layers. Predictions are made for SiGe/Si systems, but the methodology, based on the exact (albeit in two dimensions and within linear elasticity theory) solution of the stress field associated with a periodic distribution of defects, is general. Results are critically compared with experiments, when possible, and with a previous mean-field model. A progressive transition from one-dimensional to two-dimensional distributions of defects when continuous linear grading is approached is clearly observed. Interestingly, analysis of the low-energy distribution of dislocations reveals close analogies with typical pile-ups as produced by dislocation multiplication.
Articolo in rivista - Articolo scientifico
Dislocation; Heteroepitaxy; Modeling; SiGe
English
1-ago-2020
2020
10
8
1
23
661
open
Lanzoni, D., Rovaris, F., Montalenti, F. (2020). Computational analysis of low-energy dislocation configurations in graded layers. CRYSTALS, 10(8), 1-23 [10.3390/cryst10080661].
File in questo prodotto:
File Dimensione Formato  
crystals-10-00661.pdf

accesso aperto

Tipologia di allegato: Publisher’s Version (Version of Record, VoR)
Dimensione 14.46 MB
Formato Adobe PDF
14.46 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/290342
Citazioni
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 3
Social impact