1986
DOI: 10.1103/physrevb.34.4088
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Recombination at dangling bonds and steady-state photoconductivity ina-Si:H

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Cited by 93 publications
(32 citation statements)
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“…In this work, we extend the model previously established ͑but not widely spread͒ for bulk a-Si:H recombination 10,11 to the description of the surface recombination through dangling bonds. For a better understanding of our approach, the relevant underlying hypotheses and properties of this recombination model are summarized below.…”
Section: Dangling Bond Interface Recombination Modelmentioning
confidence: 96%
“…In this work, we extend the model previously established ͑but not widely spread͒ for bulk a-Si:H recombination 10,11 to the description of the surface recombination through dangling bonds. For a better understanding of our approach, the relevant underlying hypotheses and properties of this recombination model are summarized below.…”
Section: Dangling Bond Interface Recombination Modelmentioning
confidence: 96%
“…20 In the present case, the assumption is made that the interface recombination is occurring through amphoteric defects. 21 In the current formalism, the two model parameters are the dangling bond surface density N DB S and the charge density at the interface Q S . Electronically, the amphoteric defects ͑i.e., dangling bonds͒ are characterized by their electron and hole capture cross sections, respectively in the neutral states n 0 and p 0 and the charged states n + and p − .…”
mentioning
confidence: 99%
“…[6]. This approach is valid provided steady-state conditions and non-interacting neighbouring defect states.…”
Section: Recombination Statisticsmentioning
confidence: 92%
“…Since thermal re-emission is only negligible for energy levels between a pair of Quasi-Fermi-Levels (QFLs) for traps, the error of the scf can be estimated by comparing D it (E) to the positions of the QFLs [5]. In this paper, we implement the full model for amphoteric recombination statistics [6], abbreviated as ncf (non-closed-form). D it is modeled based on the Defect-Pool-Model (DPM) for threedimensional materials [7,8], adapted to interfaces by fitting to measurements [3].…”
mentioning
confidence: 99%