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Data Mining for Terahertz Generation Crystals
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AI
DOI：10.1002/adma.202107900.png)
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摘要
En 中文
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.
Keyword:
data mining
organic photonic materials
terahertz generation
期刊
IF:
26.8
论文数:
3.4W
被引数:
46.0W
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引用论文
High efficiency THz generation in DSTMS, DAST and OH1 pumped by Cr:forsterite laserCr: 镁橄榄石激光器泵浦的DSTMS，DAST和OH1中的高效THz产生.png)
OPTICS EXPRESS
OAAI
OPTICS EXPRESSIF3.3
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