作者
Yonggang Yao, Zhenyu Liu, Pengfei Xie, Zhennan Huang, Tangyuan Li, David Morris, Zou Finfrock, Jihan Zhou, Miaolun Jiao, Jinlong Gao, Yimin Mao, Jianwei John Miao, Peng Zhang, Reza Shahbazian-Yassar, Chao Wang, Guofeng Wang, Liangbing Hu
发表日期
2020/3/1
期刊
Science Advances
卷号
6
期号
11
页码范围
eaaz0510
出版商
American Association for the Advancement of Science
简介
Multi-elemental alloy nanoparticles (MEA-NPs) hold great promise for catalyst discovery in a virtually unlimited compositional space. However, rational and controllable synthesize of these intrinsically complex structures remains a challenge. Here, we report the computationally aided, entropy-driven design and synthesis of highly efficient and durable catalyst MEA-NPs. The computational strategy includes prescreening of millions of compositions, prediction of alloy formation by density functional theory calculations, and examination of structural stability by a hybrid Monte Carlo and molecular dynamics method. Selected compositions can be efficiently and rapidly synthesized at high temperature (e.g., 1500 K, 0.5 s) with excellent thermal stability. We applied these MEA-NPs for catalytic NH3 decomposition and observed outstanding performance due to the synergistic effect of multi-elemental mixing, their small size …
引用总数
20202021202220232024833426359
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