Computationally aided, entropy-driven synthesis of highly efficient and durable multi-elemental alloy catalysts
Autor: | Jinlong Gao, Jihan Zhou, Zhenyu Liu, Yonggang Yao, Miaolun Jiao, Peng Zhang, Zhennan Huang, Reza Shahbazian-Yassar, Liangbing Hu, David Morris, Tangyuan Li, Zou Finfrock, Chao Wang, Guofeng Wang, Jianwei John Miao, Yimin Mao, Pengfei Xie |
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Rok vydání: | 2020 |
Předmět: |
Multidisciplinary
Materials science Materials Science Alloy Rational design SciAdv r-articles Nanoparticle Nanotechnology 02 engineering and technology engineering.material 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences 0104 chemical sciences Catalysis Hybrid Monte Carlo Molecular dynamics Applied Sciences and Engineering engineering Density functional theory Thermal stability 0210 nano-technology Research Articles Research Article |
Zdroj: | Science Advances |
ISSN: | 2375-2548 |
Popis: | We developed a computationally aided alloy synthesis in the multi-element space toward highly efficient and durable catalysts. 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, and the alloy phase. We anticipate that the computationally aided rational design and rapid synthesis of MEA-NPs are broadly applicable for various catalytic reactions and will accelerate material discovery. |
Databáze: | OpenAIRE |
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