Litcius/Paper detail

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

Yonggang Yao, Qi Dong, Alexandra H. Brozena, Jian Luo, Jianwei Miao, Miaofang Chi, Chao Wang, Ioannis G. Kevrekidis, Zhiyong Jason Ren, Jeffrey Greeley, Guofeng Wang, Abraham Anapolsky, Liangbing Hu

2022Science989 citationsDOI

Abstract

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.

Topics & Concepts

NanoparticleMultidisciplinary approachNanotechnologyEntropy (arrow of time)CatalysisHigh energyComputer scienceMaterials scienceData scienceChemistryPhysicsEngineering physicsThermodynamicsPolitical scienceBiochemistryLawHigh Entropy Alloys StudiesLaser-Ablation Synthesis of NanoparticlesCatalytic Processes in Materials Science