Numerical modeling of highly doped Si:P emitters based on Fermi–Dirac statistics and self-consistent material parameters
| dc.contributor.author | Altermatt, Pietro P. | |
| dc.contributor.author | Schumacher, Jürgen O. | |
| dc.contributor.author | Cuevas, Andres | |
| dc.contributor.author | Kerr, Mark J. | |
| dc.contributor.author | Glunz, Stefan W. | |
| dc.contributor.author | King, Richard R. | |
| dc.contributor.author | Heiser, Gernot | |
| dc.contributor.author | Schenk, Andreas | |
| dc.date.accessioned | 2015-10-19T05:48:16Z | |
| dc.date.available | 2015-10-19T05:48:16Z | |
| dc.date.issued | 2002-09-15 | |
| dc.date.updated | 2015-12-12T09:28:46Z | |
| dc.description.abstract | We have established a simulation model for phosphorus-doped silicon emitters using Fermi–Dirac statistics. Our model is based on a set of independently measured material parameters and on quantum mechanical calculations. In contrast to commonly applied models, which use Boltzmann statistics and apparent band-gap narrowing data, we use Fermi–Dirac statistics and theoretically derived band shifts, and therefore we account for the degeneracy effects on a physically sounder basis. This leads to unprecedented consistency and precision even at very high dopant densities. We also derive the hole surface recombination velocity parameter Spo by applying our model to a broad range of measurements of the emitter saturation current density. Despite small differences in oxide quality among various laboratories, Spo generally increases for all of them in a very similar manner at high surfacedoping densities Nsurf. Pyramidal texturing generally increases Spo by a factor of five. The frequently used forming gas anneal lowers Spo mainly in low-doped emitters, while an aluminumanneal(Al deposit followed by a heat cycle) lowers Spo at all Nsurf. | |
| dc.description.sponsorship | P.P.A. is on a Postdoctoral Fellowship from the Australian Research Council ~ARC!. The Center for Photovoltaic Engineering is supported by ARC’s Special Research Centres Scheme. A.C. and M.K. also acknowledge funding by the ARC. | en_AU |
| dc.identifier.issn | 0021-8979 | en_AU |
| dc.identifier.uri | http://hdl.handle.net/1885/15969 | |
| dc.publisher | American Institute of Physics (AIP) | |
| dc.rights | http://www.sherpa.ac.uk/romeo/issn/0021-8979..."Publishers version/PDF may be used on author's personal website, institutional website or institutional repository" from SHERPA/RoMEO site (as at 19/10/15). Copyright 2002 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. The following article appeared in Journal of Applied Physics and may be found at https://doi.org/10.1063/1.1501743 | |
| dc.source | Journal of Applied Physics | |
| dc.subject | Keywords: Band gap narrowing; Band shift; Boltzmann statistics; Degeneracy effect; Emitter saturation current density; Fermi-Dirac statistics; Forming gas; Heat cycle; Hole surface; Material parameter; Numerical modeling; Phosphorus-doped; Pyramidal texturing; Quan | |
| dc.title | Numerical modeling of highly doped Si:P emitters based on Fermi–Dirac statistics and self-consistent material parameters | |
| dc.type | Journal article | |
| local.bibliographicCitation.issue | 6 | en_AU |
| local.bibliographicCitation.lastpage | 3197 | en_AU |
| local.bibliographicCitation.startpage | 3187 | en_AU |
| local.contributor.affiliation | Altermatt, Pietro P, Institute for Solar Energy Research Hameln (ISFH), Germany | en_AU |
| local.contributor.affiliation | Schumacher, Jurgen, Fraunhofer Institute, Germany | en_AU |
| local.contributor.affiliation | Cuevas, Andres, College of Engineering and Computer Science, College of Engineering and Computer Science, Research School of Engineering, The Australian National University | en_AU |
| local.contributor.affiliation | Kerr, Mark, College of Engineering and Computer Science, College of Engineering and Computer Science, Research School of Engineering, The Australian National University | en_AU |
| local.contributor.authoruid | u9308750 | en_AU |
| local.description.notes | Imported from ARIES | en_AU |
| local.description.refereed | Yes | |
| local.identifier.absfor | 010401 | en_AU |
| local.identifier.ariespublication | MigratedxPub23997 | en_AU |
| local.identifier.citationvolume | 92 | en_AU |
| local.identifier.doi | 10.1063/1.1501743 | en_AU |
| local.identifier.scopusID | 2-s2.0-18644375512 | |
| local.publisher.url | https://www.aip.org/ | en_AU |
| local.type.status | Published Version | en_AU |