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激光精确合成无氧化高熵合金纳米颗粒库

Laser Precise Synthesis of Oxidation-Free High-Entropy Alloy Nanoparticle Libraries.

作者信息

Guo Chang, Hu Xiaobing, Han Xiao, Gao Yong, Zheng Tao, Chen Dazhao, Qiu Xueyuan, Wang Pan, Xu Kengfeng, Chen Yiming, Zhou Runtong, Zong Meng, Wang Jincheng, Xia Zhenhai, Hao Jianhua, Xie Keyu

机构信息

State Key Laboratory of Solidification Processing, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, P. R. China.

Chongqing Innovation Center, Northwestern Polytechnical University, Chongqing 401120, P. R. China.

出版信息

J Am Chem Soc. 2024 Jul 10;146(27):18407-18417. doi: 10.1021/jacs.4c03658. Epub 2024 Jun 27.

DOI:10.1021/jacs.4c03658
PMID:38935530
Abstract

High-entropy alloy nanoparticles (HEA-NPs) show exceptional properties and great potential as a new generation of functional materials, yet a universal and facile synthetic strategy in air toward nonoxidized and precisely controlled composition remains a huge challenge. Here we provide a laser scribing method to prepare single-phase solid solution HEA-NPs libraries in air with tunable composition at the atomic level, taking advantage of the laser-induced metastable thermodynamics and substrate-assisted confinement effect. The three-dimensional porous graphene substrate functions as a microreactor during the fast heating/cooling process, which is conductive to the generation of the pure alloy phase by effectively blocking the binding of oxygen and metals, but is also beneficial for realizing accurate composition control via microstructure confinement-endowed favorable vapor pressure. Furthermore, by combining an active learning approach based on an adaptive design strategy, we discover an optimal composition of quinary HEA-NP catalysts with an ultralow overpotential for Li-CO batteries. This method provides a simple, fast, and universal in-air route toward the controllable synthesis of HEA-NPs, potentially integrated with machine learning to accelerate the research on HEAs.

摘要

高熵合金纳米颗粒(HEA-NPs)作为新一代功能材料展现出卓越性能和巨大潜力,但在空气中实现一种通用且简便的合成策略以制备无氧化且成分精确可控的材料仍是一项巨大挑战。在此,我们提供一种激光刻写方法,利用激光诱导的亚稳热力学和基底辅助限制效应,在空气中制备原子级成分可调的单相固溶体HEA-NPs库。三维多孔石墨烯基底在快速加热/冷却过程中充当微反应器,通过有效阻止氧与金属的结合有利于纯合金相的生成,同时也有助于通过微观结构限制赋予的有利蒸气压实现精确的成分控制。此外,通过结合基于自适应设计策略的主动学习方法,我们发现了一种用于锂-二氧化碳电池的具有超低过电位的五元HEA-NP催化剂的最佳成分。该方法提供了一条简单、快速且通用的在空气中可控合成HEA-NPs的途径,有望与机器学习相结合以加速高熵合金的研究。

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