dc.contributor | Materials Science and Engineering Laboratory, Ceramics Division National Institute of Standards and Technology, Gaithersburg, MD USA | en_US |
dc.contributor.author | Burton, Benjamin P. | |
dc.contributor.other | benjamin.burton@nist.gov | en_US |
dc.date.accessioned | 2013-04-08T19:27:06Z | |
dc.date.accessioned | 2014-08-05T19:24:59Z | |
dc.date.available | 2013-04-08T19:27:06Z | |
dc.date.available | 2014-08-05T19:24:59Z | |
dc.date.issued | 2013-04-08 | |
dc.identifier.citation | J. Appl. Phys. 110, 023507 (2011) | en_US |
dc.identifier.uri | http://hdl.handle.net/11115/110 | |
dc.description.abstract | The cluster-expansion method was used to perform first principles phase diagram calculations for the wurtzite-structure quasibinary systems (SiC)1-X(AlN)X, (SiC)1-X (GaN)X and (SiC)1-X(InN)X; and to model variations of band gaps as functions of bulk compositions and temperature. In SiC-AlN, plane wave pseudopotential formation-energy calculations predict low-energy metastable states with formation energies, ΔEf math 0.004 eV/mole (mol = one cation + one anion). The crystal structures of these states are all of the form (SiC)m(AlN)n(SiC)o(AlN)p…(m,n,o,p integers), where (SiC)m indicates m SiC-diatomic-layers ⊥ to the hexagonal c-axis (cHex) and similarly for (AlN)n, (SiC)o and (AlN)p. The presence of low-energy layer-structure metastable states helps to explain why one can synthesize (SiC)1-X(AlN)X films, or single crystals with any value of X, in spite of the apparently strong tendency toward immiscibility. In SiC-GaN, ordered structures are predicted at X = 1/4, 1/2, and 3/ 4 (Pm, Pmn21 and Pm, respectively). In SiC-InN, one Cmc21 ordered phase is predicted at X = 1/2. | en_US |
dc.relation.uri | http://dx.doi.org/10.1063/1.3602149 | en_US |
dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
dc.subject | SiC-AlN | en_US |
dc.title | SiC-AlN, SiC-GaN and SiC-InN: wurtzite-structure quasibinary systems | en_US |
dc.type | Dataset | en_US |