2003
DOI: 10.1103/physrevb.67.235207
|View full text |Cite
|
Sign up to set email alerts
|

Determination of the Gibbs free energy of formation of Ga vacancies in GaAs by positron annihilation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

5
36
2

Year Published

2006
2006
2024
2024

Publication Types

Select...
3
2
2

Relationship

0
7

Authors

Journals

citations
Cited by 41 publications
(46 citation statements)
references
References 41 publications
5
36
2
Order By: Relevance
“…16 Despite considerable theoretical and experimental studies, the charge state of a Ga vacancy is still unclarified; thus, it is an issue in this case. Theoretical calculations 17 and a recent positron annihilation experiment 18 predict the charge of a Ga vacancy as −3e, while diffusion experiments support the values for the −2e ͑Ref. 19͒ and −1e ͑Ref.…”
mentioning
confidence: 99%
“…16 Despite considerable theoretical and experimental studies, the charge state of a Ga vacancy is still unclarified; thus, it is an issue in this case. Theoretical calculations 17 and a recent positron annihilation experiment 18 predict the charge of a Ga vacancy as −3e, while diffusion experiments support the values for the −2e ͑Ref. 19͒ and −1e ͑Ref.…”
mentioning
confidence: 99%
“…Although the diffusion model and the experimental Fermi level dependence used in different experiments [1,2] are the same, conclusions about the dominant charge state of V Ga are contradictory. This contradiction can therefore be due to experimental errors or the additional assumptions about the temperature dependence of the ionization levels used in the experimental fits.…”
Section: Analysis Of the Experimental Resultsmentioning
confidence: 99%
“…We show that, in spite of well known LDA limitations, apparently conflicting data coming from two experiments performed under different conditions [1,2] are well fitted. This satisfactory fit is obtained for both experimental data by using the same set of inputs like the concentration model, the Fermi level effect and the computed temperature dependence of F q1/q2 .…”
Section: Introductionmentioning
confidence: 95%
See 2 more Smart Citations