材料科学
红外线的
热导率
非线性光学
光学材料
电导率
热的
光电子学
非线性光学
非线性系统
分析化学(期刊)
光学
复合材料
物理化学
热力学
激光器
物理
化学
量子力学
色谱法
作者
Qingchen Wu,Linfeng Dong,Lei Kang,Zheshuai Lin
标识
DOI:10.1002/adom.202402922
摘要
Abstract Infrared (IR) nonlinear optical (NLO) crystals are essential for laser applications in mid‐ or far‐IR regions. The common mid‐IR NLO crystals are inadequate under high‐power laser mainly due to low laser‐induced damage threshold which is closely related to the lattice thermal conductivity ( κ L ). Here a combined method involving automatic structure prediction algorithms, first‐principles calculations and machine learning model is used to predict and evaluate a new IR NLO material family with the chemical formula of Li 2 ZnS 2 . Totally, three Li 2 ZnS 2 structures (or phases) are designed, where one phase is expected to meet the stringent requirements for mid‐IR NLO materials pumped by high‐power laser, with the high thermal conductivity, decent NLO coefficient, wide bandgap and phase‐matching ability in the mid‐IR region. This study presents an efficient approach to exploring mid‐IR NLO materials with high κ L based on accumulated knowledge concerning the structure‐property relationship in the NLO field and provides inspiration to improve κ L prediction.
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