组合材料芯片技术在新材料研发中的应用

Translated title of the contribution: Applications of combinatorial material chip technology in research and development of new materials

项晓东*, 汪洪, 向勇, 闫宗楷

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

组合材料芯片是高通量材料实验技术的重要组成部分,可实现在一块较小的基底上,通过精妙设计,以任意元素为基本单元,组合集成多达10~108种不同成分、结构、物相等材料样品库,并利用高通量表征方法快速获得材料的成分、结构、性能等信息,以实验通量的大幅度提高带来研究效率的根本转变,实现材料搜索的"多、快、好、省"。组合材料芯片技术经历了20 年的发展与完善,已形成一系列较为成熟的材料制备技术与表征方法。本文列举多年来涉及微电子材料、磁性材料、光电材料、能源材料、介电材料、催化材料、合金材料等15 个领域中较为成功的应用案例,以展示组合材料芯片技术在加速新材料发现、材料和器件性能优化、以及基础物理研究中的突出作用及效果。

Combinatorial material chip technology is a key element of the high-throughput materials experimentation which enables fulfillment of the Materials Genome Initiative. A typical combinatorial materials library contains 10 to 108 samples on a single substrate, and their compositions, structures, and properties are rapidly characterized. Over the past two decades, much progress has been made in combinatorial materials synthesis and characterization techniques. Combinatorial materials screening has been widely applied in almost all fields of materials research. In this article, examples were chosen from 15 categories of materials, such as electronic materials, magnetic materials, photonic materials, optical materials, energy materials, dielectric materials, catalysts, and alloys, to demonstrate the effectiveness and efficiency of the combinatorial methodology in new materials discovery, materials and devices optimization, as well as fundamental physics research.
Translated title of the contributionApplications of combinatorial material chip technology in research and development of new materials
Original languageChinese (Simplified)
Pages (from-to)64-78
Number of pages15
Journal科技导报
Volume33
Issue number10
DOIs
Publication statusPublished - 2015
Externally publishedYes

Keywords

  • 组合材料
  • 高通量
  • 材料基因工程
  • 快速材料表征
  • combinatorial materials
  • high throughput
  • materials genome engineering
  • fast materials characterization

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