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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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| Publicado no: | Chem Sci |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Royal Society of Chemistry
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8163357/ https://ncbi.nlm.nih.gov/pubmed/34123112 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1039/d0sc01101k |
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