Chemistry and Chemical Engineering, GE Global Research Center , Niskayuna, New York 12309, United States.
ACS Comb Sci. 2011 Nov 14;13(6):579-633. doi: 10.1021/co200007w. Epub 2011 Aug 31.
Rational materials design based on prior knowledge is attractive because it promises to avoid time-consuming synthesis and testing of numerous materials candidates. However with the increase of complexity of materials, the scientific ability for the rational materials design becomes progressively limited. As a result of this complexity, combinatorial and high-throughput (CHT) experimentation in materials science has been recognized as a new scientific approach to generate new knowledge. This review demonstrates the broad applicability of CHT experimentation technologies in discovery and optimization of new materials. We discuss general principles of CHT materials screening, followed by the detailed discussion of high-throughput materials characterization approaches, advances in data analysis/mining, and new materials developments facilitated by CHT experimentation. We critically analyze results of materials development in the areas most impacted by the CHT approaches, such as catalysis, electronic and functional materials, polymer-based industrial coatings, sensing materials, and biomaterials.
基于先验知识的合理材料设计很有吸引力，因为它有望避免大量候选材料的耗时合成和测试。然而，随着材料复杂性的增加，合理材料设计的科学能力也逐渐受到限制。由于这种复杂性，材料科学中的组合和高通量（CHT）实验已被认为是一种产生新知识的新科学方法。本综述展示了 CHT 实验技术在新材料的发现和优化中的广泛适用性。我们讨论了 CHT 材料筛选的一般原则，然后详细讨论了高通量材料表征方法、数据分析/挖掘方面的进展，以及 CHT 实验带来的新材料开发。我们批判性地分析了 CHT 方法最具影响力的领域的材料开发结果，例如催化、电子和功能材料、基于聚合物的工业涂料、传感材料和生物材料。
