2004
DOI: 10.1016/j.tsf.2003.10.129
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Intrinsic and light induced gap states in a-Si:H materials and solar cells—effects of microstructure

Abstract: The effects of microstructure on the gap states of hydrogen diluted and undiluted hydrogenated amorphous silicon (a-Si:H) thin film materials and their solar cells have been investigated. In characterizing the films the commonly used methodology of relating just the magnitudes of photocurrents and subgap absorption, α(E), was expanded to take into account states other than those due to dangling bond defects. The electron mobility-lifetime products were characterized as a function of carrier generation rates an… Show more

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Cited by 33 publications
(25 citation statements)
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“…For these films α rel (1.0 eV) decreases with increasing R H . This result is consistent with CPM absorption [7] and EPR [2] data on defect concentration in amorphous silicon films with embedded nanocrystallites. These amorphous silicon films are referred to as protocrystalline silicon films.…”
Section: Resultssupporting
confidence: 91%
See 1 more Smart Citation
“…For these films α rel (1.0 eV) decreases with increasing R H . This result is consistent with CPM absorption [7] and EPR [2] data on defect concentration in amorphous silicon films with embedded nanocrystallites. These amorphous silicon films are referred to as protocrystalline silicon films.…”
Section: Resultssupporting
confidence: 91%
“…Microstructure of silicon films can be controlled from highly amorphous to predominantly crystalline by varying the dilution of silane source gas with hydrogen during the rf plasma enhanced chemical vapor deposition [7]. In this work we report a systematic study of hydrogenated silicon films prepared for different hydrogen dilutions.…”
mentioning
confidence: 99%
“…It has been reported 17, 18 that a lower density of interface states results in higher σ . A faster deposition rate is beneficial to the large‐scale production.…”
Section: Resultsmentioning
confidence: 87%
“…The contributions of the individual D h , D z , and D e components to overall EDOS determined from the fitting procedure were estimated via the decomposition of the EDOS into three Gaussian distributions. This decomposition stems from the experimental observation of three groups of defects reported also by other authors [10][11][12][13]. Each Gaussian distribution was determined by three parameters: the position of the peak, the height, and the standard deviation of the Gaussian distribution.…”
Section: Experiments and Simulationmentioning
confidence: 86%