Suppr超能文献

从金属纳米晶体的异质性中学习:对丰富信息和高通量单纳米晶体测量的需求。

Learning from Metal Nanocrystal Heterogeneity: A Need for Information-Rich and High-Throughput Single-Nanocrystal Measurements.

作者信息

Knobeloch Megan, O'Dell Zachary J, Edwards Madison E, Huang Chuanliang, Nguyen Mai, Wahab Oluwasegun J, Baker Lane A, Henkelman Graeme, Ye Xingchen, Yan Xin, Willets Katherine A, Skrabalak Sara E

机构信息

Department of Chemistry, Indiana UniversityBloomington, Bloomington, Indiana 47405, United States.

Department of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, United States.

出版信息

ACS Nanosci Au. 2025 Jul 16;5(4):219-239. doi: 10.1021/acsnanoscienceau.5c00033. eCollection 2025 Aug 20.

Abstract

Metal nanocrystals (NCs) show utility in a variety of applications due to their unique structure-dependent properties. Isolating these structure-property relationships is crucial for NC design, but heterogeneities present in NC ensembles as well as limitations in NC characterization strategies complicate this goal. Herein, we describe the various types of intraparticle and interparticle heterogeneities common to NC ensembles and then provide a detailed description and comparison of single-particle techniques that can be used to characterize these different heterogeneities. Case studies then showcase the use of multimodal characterization approaches, where multiple, primarily single-NC techniques are used in tandem to provide new insights into metal NC structure-property relationships. We conclude with a critique of single-NC techniques that motivates the development of new high-throughput and high-resolution single-NC characterization approaches as well as computational tools, with a proposed workflow outlined to accelerate NC design and discovery.

摘要

金属纳米晶体(NCs)由于其独特的结构相关性质,在各种应用中显示出实用性。确定这些结构-性质关系对于NC设计至关重要,但NC集合体中存在的异质性以及NC表征策略的局限性使这一目标变得复杂。在此,我们描述了NC集合体常见的各种颗粒内和颗粒间异质性类型,然后详细描述并比较了可用于表征这些不同异质性的单颗粒技术。案例研究展示了多模态表征方法的应用,其中多种主要是单NC技术串联使用,以提供关于金属NC结构-性质关系的新见解。我们最后对单NC技术进行了批判,这促使开发新的高通量和高分辨率单NC表征方法以及计算工具,并概述了一个拟议的工作流程,以加速NC设计和发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/12371495/a77c6b4d6dc5/ng5c00033_0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验