Experiment Design Frameworks for Accelerated Discovery of Targeted Materials Across Scales

Experiment Design Frameworks for Accelerated Discovery of Targeted Materials Across Scales

Over the last decade, there has been a paradigm shift away from labor-intensive and time-consuming materials discovery methods, and materials exploration through informatics approaches is gaining traction at present. Current approaches are typically centered around the idea of achieving this explora...

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Bibliographic Details
Main Authors: Anjana Talapatra, Shahin Boluki, Pejman Honarmandi, Alexandros Solomou, Guang Zhao, Seyede Fatemeh Ghoreishi, Abhilash Molkeri, Douglas Allaire, Ankit Srivastava, Xiaoning Qian, Edward R. Dougherty, Dimitris C. Lagoudas, Raymundo Arróyave
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-04-01
Series:Frontiers in Materials
Subjects:
materials discovery
efficient experiment design
Bayesian Optimization
information fusion
materials informatics
machine learning
Online Access:https://www.frontiersin.org/article/10.3389/fmats.2019.00082/full

Internet

https://www.frontiersin.org/article/10.3389/fmats.2019.00082/full

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