Autonomous intelligent agents for accelerated materials discovery

We present an end-to-end computational system for autonomous materials discovery. The system aims for cost-effective optimization in large, high-dimensional search spaces of materials by adopting a sequential, agent-based approach to deciding which experiments to carry out. In choosing next experime...

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Detalles Bibliográficos
Autores principales: Montoya, Joseph H., Winther, Kirsten T., Flores, Raul A., Bligaard, Thomas, Hummelshøj, Jens S., Aykol, Muratahan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2020
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8163357/
https://www.ncbi.nlm.nih.gov/pubmed/34123112
http://dx.doi.org/10.1039/d0sc01101k

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8163357/
https://www.ncbi.nlm.nih.gov/pubmed/34123112
http://dx.doi.org/10.1039/d0sc01101k

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