Coupling mixture designs, high-throughput experiments and machine learning for accelerated exploration of multinary systems-Reference-Cited by-同舟云学术

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Coupling mixture designs, high-throughput experiments and machine learning for accelerated exploration of multinary systems

Published:2023-07 Issue: Volume:231 Page:112055
ISSN:0264-1275
Container-title:Materials & Design
language:en
Short-container-title:Materials & Design

Author:

Garel Elise^ORCID,Parouty Jean-Luc,Van Landeghem Hugo,Verdier Marc,Robaut Florence,Coindeau Stéphane,Boichot Raphaël^ORCID

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference61 articles.

1. Materials Genome Initiative for Global Competitiveness. https://obamawhitehouse.archives.gov/sites/default/files/microsites/ostp/materials_genome_initiative-final.pdf (2011).

2. Materials Genome Initiative Strategic Plan. 36 (2021).

3. Jarvis, D. et al. Metallurgy Europe - a renaissance programme for 2012-2022: science position paper. (2012).

4. The 2019 materials by design roadmap;Alberi;J. Phys. Appl. Phys.,2018

5. A combinatorial approach to the discovery and optimization of luminescent materials;Danielson;Nature,1997

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