Unraveling the Deep‐Level Defects Induced Optical Losses in LilnSe2 Crystal toward Enhancement of Mid‐Infrared Laser Radiation

红外线的 激光器 辐射 光电子学 材料科学 光学 光学材料 Crystal(编程语言) 远红外激光器 物理 计算机科学 程序设计语言
作者
Shi-Lei Wang,Chao Ma,Kaihui Xu,Jingjing Zhang,Feng Yang,Xutang Tao,Shanpeng Wang
出处
期刊:Laser & Photonics Reviews [Wiley]
卷期号:18 (11)
标识
DOI:10.1002/lpor.202400191
摘要

Abstract Mid‐infrared (MIR) lasers generated by nonlinear optical (NLO) crystals have aroused extensive attention in various military and civilian applications. Among the MIR NLO crystal family, LiInSe 2 (LISe) is a promising candidate in the generation of MIR lasers due to its wide transmission range, large bandgap, and high laser‐induced damage threshold. However, the intrinsic defects in LISe induce optical losses, which will induce laser damage and hinder the performance of MIR laser generation. In this work, the mechanism of optical absorption induced by defects is revealed in LISe through transient absorption (TA) spectroscopy. It is verified that the deep‐level defects in LISe give rise to the extra optical absorption, which is owing to the excited state absorption (ESA) and photo‐induced absorption (PIA). Accordingly, for improving the optical properties of LISe crystals, Li 2 Se vapor‐mediated annealing to reduce defects concentration is rationally designed. The results confirmed that the optical properties of annealed LISe are improved due to the decrease of defects concentration. Ultimately, the performance of MIR laser generation is successfully enhanced by using the annealed LISe crystal. This work provides deep insights into the defect‐induced absorption losses in LISe crystals and promotes the application of LISe crystals in MIR laser generation.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1988完成签到,获得积分20
1秒前
无花果应助XOO采纳,获得10
1秒前
SnowyKwok完成签到,获得积分10
1秒前
1秒前
2秒前
3秒前
丫丫yosh发布了新的文献求助10
3秒前
3秒前
桃花长平完成签到,获得积分10
4秒前
哆啦做梦应助研友_LMBAXn采纳,获得10
4秒前
星星海发布了新的文献求助10
6秒前
6秒前
6秒前
拣尽南枝发布了新的文献求助10
7秒前
shimly0101xx发布了新的文献求助10
7秒前
酷波er应助wy.he采纳,获得10
9秒前
李部侍郎发布了新的文献求助10
9秒前
Chang发布了新的文献求助50
10秒前
lizishu完成签到,获得积分0
11秒前
11秒前
Azure发布了新的文献求助10
11秒前
一手灵魂完成签到,获得积分10
11秒前
11秒前
星星海完成签到,获得积分10
12秒前
Hcw0525发布了新的文献求助10
13秒前
13秒前
14秒前
14秒前
Mly应助夏夏采纳,获得10
14秒前
molihuakai应助朴素的山蝶采纳,获得10
15秒前
16秒前
16秒前
江柚白完成签到,获得积分10
17秒前
hahaaa完成签到,获得积分10
18秒前
18秒前
哆啦做梦应助Lucky采纳,获得10
18秒前
打打应助琪琪采纳,获得10
19秒前
SciGPT应助阮大帅气采纳,获得10
19秒前
20秒前
20秒前
高分求助中
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7602252
求助须知:如何正确求助?哪些是违规求助? 9178555
关于积分的说明 19655662
捐赠科研通 7178049
什么是DOI,文献DOI怎么找? 3269024
关于科研通互助平台的介绍 2433218
邀请新用户注册赠送积分活动 2262819