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Identifying the ‘inorganic gene’ for high-temperature piezoelectric perovskites through statistical learning
This paper develops a statistical learning approach to identify potentially new high-temperature ferroelectric piezoelectric perovskite compounds. Unlike most computational studies on crystal chemistry, where the starting point is some form of electronic structure calculation, we use a data-driven a...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society Publishing
2011
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4042451/ https://www.ncbi.nlm.nih.gov/pubmed/24959095 http://dx.doi.org/10.1098/rspa.2010.0543 |