Reassessment of the intrinsic carrier density in crystalline silicon in view of band-gap narrowing Altermatt, Pietro en_US Schenk, Andreas en_US Geelhaar, Frank en_US Heiser, Gernot en_US 2021-11-25T13:30:51Z 2021-11-25T13:30:51Z 2003 en_US
dc.description.abstract The commonly used value of the intrinsic carrier density of crystalline silicon at 300 K is ni = 1.00×1010 cm–3. It was experimentally determined by Sproul and Green, J. Appl. Phys. 70, 846 (1991), using specially designed solar cells. In this article, we demonstrate that the Sproul and Green experiment was influenced by band-gap narrowing, even though the dopant density of their samples was low (1014 to 1016 cm–3). We reinterpret their measurements by numerical simulations with a random-phase approximation model for band-gap narrowing, thereby obtaining ni = 9.65×109 cm–3 at 300 K. This value is consistent with results obtained by Misiakos and Tsamakis, J. Appl. Phys. 74, 3293 (1993), using capacitance measurements. In this way, long-prevailing inconsistencies between independent measurement techniques for the determination of ni are resolved. en_US
dc.identifier.issn 0021-8979 en_US
dc.language English
dc.language.iso EN en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri en_US
dc.source Legacy MARC en_US
dc.title Reassessment of the intrinsic carrier density in crystalline silicon in view of band-gap narrowing en_US
dc.type Journal Article en
dcterms.accessRights metadata only access
dspace.entity.type Publication en_US
unsw.identifier.doiPublisher en_US
unsw.relation.faculty Engineering
unsw.relation.ispartofjournal Journal of Applied Physics en_US
unsw.relation.ispartofpagefrompageto 1598-1604 en_US
unsw.relation.ispartofvolume 93, en_US
unsw.relation.originalPublicationAffiliation Altermatt, Pietro, Photovoltaics & Renewable Energy Engineering, Faculty of Engineering, UNSW en_US
unsw.relation.originalPublicationAffiliation Schenk, Andreas en_US
unsw.relation.originalPublicationAffiliation Geelhaar, Frank en_US
unsw.relation.originalPublicationAffiliation Heiser, Gernot, Computer Science & Engineering, Faculty of Engineering, UNSW en_US School of Photovoltaic and Renewable Energy Engineering * School of Computer Science and Engineering *
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