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Accelerated search for BaTiO(3)-based piezoelectrics with vertical morphotropic phase boundary using Bayesian learning
An outstanding challenge in the nascent field of materials informatics is to incorporate materials knowledge in a robust Bayesian approach to guide the discovery of new materials. Utilizing inputs from known phase diagrams, features or material descriptors that are known to affect the ferroelectric...
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| Pubblicato in: | Proc Natl Acad Sci U S A |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
National Academy of Sciences
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5127307/ https://ncbi.nlm.nih.gov/pubmed/27821777 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1607412113 |
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