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High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery.

Publication ,  Journal Article
Yao, Y; Dong, Q; Brozena, A; Luo, J; Miao, J; Chi, M; Wang, C; Kevrekidis, IG; Ren, ZJ; Greeley, J; Wang, G; Anapolsky, A; Hu, L
Published in: Science (New York, N.Y.)
April 2022

High-entropy nanoparticles have become a rapidly growing area of research in recent years. Because of their multielemental compositions and unique high-entropy mixing states (i.e., solid-solution) that can lead to tunable activity and enhanced stability, these nanoparticles have received notable attention for catalyst design and exploration. However, this strong potential is also accompanied by grand challenges originating from their vast compositional space and complex atomic structure, which hinder comprehensive exploration and fundamental understanding. Through a multidisciplinary view of synthesis, characterization, catalytic applications, high-throughput screening, and data-driven materials discovery, this review is dedicated to discussing the important progress of high-entropy nanoparticles and unveiling the critical needs for their future development for catalysis, energy, and sustainability applications.

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Published In

Science (New York, N.Y.)

DOI

EISSN

1095-9203

ISSN

0036-8075

Publication Date

April 2022

Volume

376

Issue

6589

Start / End Page

eabn3103

Related Subject Headings

  • General Science & Technology
 

Citation

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Chicago
ICMJE
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Yao, Y., Dong, Q., Brozena, A., Luo, J., Miao, J., Chi, M., … Hu, L. (2022). High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery. Science (New York, N.Y.), 376(6589), eabn3103. https://doi.org/10.1126/science.abn3103
Yao, Yonggang, Qi Dong, Alexandra Brozena, Jian Luo, Jianwei Miao, Miaofang Chi, Chao Wang, et al. “High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery.Science (New York, N.Y.) 376, no. 6589 (April 2022): eabn3103. https://doi.org/10.1126/science.abn3103.
Yao Y, Dong Q, Brozena A, Luo J, Miao J, Chi M, et al. High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery. Science (New York, NY). 2022 Apr;376(6589):eabn3103.
Yao, Yonggang, et al. “High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery.Science (New York, N.Y.), vol. 376, no. 6589, Apr. 2022, p. eabn3103. Epmc, doi:10.1126/science.abn3103.
Yao Y, Dong Q, Brozena A, Luo J, Miao J, Chi M, Wang C, Kevrekidis IG, Ren ZJ, Greeley J, Wang G, Anapolsky A, Hu L. High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery. Science (New York, NY). 2022 Apr;376(6589):eabn3103.
Journal cover image

Published In

Science (New York, N.Y.)

DOI

EISSN

1095-9203

ISSN

0036-8075

Publication Date

April 2022

Volume

376

Issue

6589

Start / End Page

eabn3103

Related Subject Headings

  • General Science & Technology