4.8 Article

Data Mining for Terahertz Generation Crystals

期刊

ADVANCED MATERIALS
卷 34, 期 16, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.202107900

关键词

data mining; organic photonic materials; terahertz generation

资金

  1. Simmons Research Fund
  2. National Science Foundation Division of Materials Research (DMR) [2104317]
  3. Division Of Materials Research
  4. Direct For Mathematical & Physical Scien [2104317] Funding Source: National Science Foundation

向作者/读者索取更多资源

By combining data mining with density functional theory calculations, a new approach to discovering and developing organic nonlinear optical crystals that produce intense pulses of terahertz radiation has been demonstrated. The new materials discovered and characterized through this approach outperform the current state-of-the-art organic terahertz generation crystals.
A data mining approach to discover and develop new organic nonlinear optical crystals that produce intense pulses of terahertz radiation is demonstrated. The Cambridge Structural Database is mined for non-centrosymmetric materials and these structural data are used in tandem with density functional theory calculations to predict new materials that efficiently generate terahertz radiation. This enables us to (in a relatively short time) discover, synthesize, and grow large, high-quality crystals of four promising materials and characterize them for intense terahertz generation. In a direct comparison to the current state-of-the-art organic terahertz generation crystals, these new materials excel. The discovery and characterization of these novel terahertz generators validate the approach of combining data mining with density functional theory calculations to predict properties of high-performance organic materials, potentially for a host of exciting applications.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据