High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery
High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery
复制标题
高熵纳米粒子：合成-结构-性质关系和数据驱动的发现
DOI：
10.1126/science.abn3103
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发表时间：
2022
期刊：
影响因子：
56.9
通讯作者：
Greeley, Jeffrey
中科院分区：
文献类型：
--
作者：
Yao, Yonggang;Dong, Qi;Brozena, Alexandra;Luo, Jian;Miao, Jianwei;Chi, Miaofang;Wang, Chao;Kevrekidis, Ioannis G.;Ren, Zhiyong Jason;Greeley, Jeffrey
近年来，高熵纳米粒子已经成为一个快速增长的研究领域。由于它们的多元素组成和独特的高熵混合态（即，固溶体），这些纳米颗粒可以导致可调节的活性和增强的稳定性，因此这些纳米颗粒在催化剂设计和开发方面受到了显著的关注。然而，这种强大的潜力也伴随着巨大的挑战，来自其广阔的组成空间和复杂的原子结构，这阻碍了全面的探索和基本的理解。通过合成，表征，催化应用，高通量筛选和数据驱动的材料发现的多学科观点，这篇综述致力于讨论高熵纳米粒子的重要进展，并揭示其未来发展的关键需求催化，能源和可持续性应用。
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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影响因子：
19
作者：
Li, Tangyuan;Yao, Yonggang;Hu, Liangbing
通讯作者：
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影响因子：
27.8
作者：
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影响因子：
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作者：
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DOI：
10.1073/pnas.1903721117
发表时间：
2020-03
影响因子：
11.1
作者：
Yonggang Yao;Zhennan Huang;Tangyuan Li;Hang Wang;Yifan Liu;H. Stein;Y. Mao;Jinlong Gao;Miao-lun Jiao;Qi Dong;J. Dai;Pengfei Xie;Hua Xie;Steven D. Lacey;I. Takeuchi;J. Gregoire;R. Jiang;Chao Wang;André D. Taylor;R. Shahbazian‐Yassar;Liangbing Hu
通讯作者：
Yonggang Yao;Zhennan Huang;Tangyuan Li;Hang Wang;Yifan Liu;H. Stein;Y. Mao;Jinlong Gao;Miao-lun Jiao;Qi Dong;J. Dai;Pengfei Xie;Hua Xie;Steven D. Lacey;I. Takeuchi;J. Gregoire;R. Jiang;Chao Wang;André D. Taylor;R. Shahbazian‐Yassar;Liangbing Hu
影响因子：
13.6
作者：
Cui M;Yang C;Hwang S;Yang M;Overa S;Dong Q;Yao Y;Brozena AH;Cullen DA;Chi M;Blum TF;Morris D;Finfrock Z;Wang X;Zhang P;Goncharov VG;Guo X;Luo J;Mo Y;Jiao F;Hu L
通讯作者：
Hu L