Explainability and human intervention in autonomous scanning probe microscopy

The broad adoption of machine learning (ML)-based autonomous experiments (AEs) in material characterization and synthesis requires strategies development for understanding and intervention in the experimental workflow. Here, we introduce and realize a post-experimental analysis strategy for deep ker...

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Detalles Bibliográficos
Autores principales: Liu, Yongtao, Ziatdinov, Maxim A., Vasudevan, Rama K., Kalinin, Sergei V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682748/
https://www.ncbi.nlm.nih.gov/pubmed/38035198
http://dx.doi.org/10.1016/j.patter.2023.100858

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682748/
https://www.ncbi.nlm.nih.gov/pubmed/38035198
http://dx.doi.org/10.1016/j.patter.2023.100858

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