Lacerda, Luis Henrique da Silveira, Longo, Elson, Andrés, Juan, San-Miguel, Miguel Angel (2022) A diagnosis approach for semiconductor properties evaluation from ab initio calculations: Ag-based materials investigation. Journal of Solid State Chemistry, 305. 122670pp. doi:10.1016/j.jssc.2021.122670
Reference Type | Journal (article/letter/editorial) | ||
---|---|---|---|
Title | A diagnosis approach for semiconductor properties evaluation from ab initio calculations: Ag-based materials investigation | ||
Journal | Journal of Solid State Chemistry | ||
Authors | Lacerda, Luis Henrique da Silveira | Author | |
Longo, Elson | Author | ||
Andrés, Juan | Author | ||
San-Miguel, Miguel Angel | Author | ||
Year | 2022 (January) | Volume | 305 |
Publisher | Elsevier BV | ||
DOI | doi:10.1016/j.jssc.2021.122670Search in ResearchGate | ||
Generate Citation Formats | |||
Mindat Ref. ID | 13802308 | Long-form Identifier | mindat:1:5:13802308:1 |
GUID | 0 | ||
Full Reference | Lacerda, Luis Henrique da Silveira, Longo, Elson, Andrés, Juan, San-Miguel, Miguel Angel (2022) A diagnosis approach for semiconductor properties evaluation from ab initio calculations: Ag-based materials investigation. Journal of Solid State Chemistry, 305. 122670pp. doi:10.1016/j.jssc.2021.122670 | ||
Plain Text | Lacerda, Luis Henrique da Silveira, Longo, Elson, Andrés, Juan, San-Miguel, Miguel Angel (2022) A diagnosis approach for semiconductor properties evaluation from ab initio calculations: Ag-based materials investigation. Journal of Solid State Chemistry, 305. 122670pp. doi:10.1016/j.jssc.2021.122670 | ||
In | (2022) Journal of Solid State Chemistry Vol. 305. Elsevier BV |
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