Using Feature‐Assisted Machine Learning Algorithms to Boost Polarity in Lead‐Free Multicomponent Niobate Alloys for High‐Performance Ferroelectrics

To expand the unchartered materials space of lead‐free ferroelectrics for smart digital technologies, tuning their compositional complexity via multicomponent alloying allows access to enhanced polar properties. The role of isovalent A‐site in binary potassium niobate alloys, (K,A)NbO(3) using first...

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Detalles Bibliográficos
Autores principales: Oh, Seung‐Hyun Victor, Hwang, Woohyun, Kim, Kwangrae, Lee, Ji‐Hwan, Soon, Aloysius
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434731/
https://www.ncbi.nlm.nih.gov/pubmed/35253401
http://dx.doi.org/10.1002/advs.202104569

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434731/
https://www.ncbi.nlm.nih.gov/pubmed/35253401
http://dx.doi.org/10.1002/advs.202104569

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