Autonomous efficient experiment design for materials discovery with Bayesian model averaging-Reference-Cited by-同舟云学术

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Autonomous efficient experiment design for materials discovery with Bayesian model averaging

Published:2018-11-26 Issue:11 Volume:2 Page:
ISSN:2475-9953
Container-title:Physical Review Materials
language:en
Short-container-title:Phys. Rev. Materials

Author:

Talapatra Anjana,Boluki S.,Duong T.,Qian X.,Dougherty E.,Arróyave R.

Funder

National Science Foundation

Air Force Office of Scientific Research

Publisher

American Physical Society (APS)

Subject

Physics and Astronomy (miscellaneous),General Materials Science

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevMaterials.2.113803/fulltext

Reference80 articles.

1. Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science

2. Materials Data Science: Current Status and Future Outlook

3. Combinatorial and High-Throughput Screening of Materials Libraries: Review of State of the Art

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