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Element selection for crystalline inorganic solid discovery guided by unsupervised machine learning of experimentally explored chemistry
The selection of the elements to combine delimits the possible outcomes of synthetic chemistry because it determines the range of compositions and structures, and thus properties, that can arise. For example, in the solid state, the elemental components of a phase field will determine the likelihood...
Autores principales: | Vasylenko, Andrij, Gamon, Jacinthe, Duff, Benjamin B., Gusev, Vladimir V., Daniels, Luke M., Zanella, Marco, Shin, J. Felix, Sharp, Paul M., Morscher, Alexandra, Chen, Ruiyong, Neale, Alex R., Hardwick, Laurence J., Claridge, John B., Blanc, Frédéric, Gaultois, Michael W., Dyer, Matthew S., Rosseinsky, Matthew J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455628/ https://www.ncbi.nlm.nih.gov/pubmed/34548485 http://dx.doi.org/10.1038/s41467-021-25343-7 |
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