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掺镁近化学计量比铌酸锂晶体的生长
引用本文:姚淑华,王继扬,刘宏,胡小波,张怀金,吴剑波,秦晓勇. 掺镁近化学计量比铌酸锂晶体的生长[J]. 硅酸盐学报, 2007, 35(3): 281-284
作者姓名:姚淑华  王继扬  刘宏  胡小波  张怀金  吴剑波  秦晓勇
作者单位:山东大学,晶体材料国家重点实验室,济南,250100;中电科技德清华蓥电子有限公司,德清,313200,浙江
基金项目:国家重点基础研究发展计划(973计划)
摘    要:用改进的提拉技术从富锂[摩尔比n(Li2O)/n(Nb2O5)=58.5/41.5]熔体中生长了φ40mmx60mm的掺镁近化学计量比铌酸锂(LiNbO3)晶体.利用X荧光光谱分析了晶体中铌离子(Nb5 )和镁离子(Mg2 )的含量.通过紫外吸收和红外吸收峰研究了晶体中缺陷的结构,初步断定晶体中Mg2 的掺杂浓度已达到抗光伤阈值的浓度.生长晶体的比热容[O.69J/(g·K)]高于同成分LiNbO3晶体的比热容[O.64J/(g·K)].

关 键 词:掺镁铌酸锂晶体  近化学计量比  提拉法
文章编号:0454-5648(2007)03-0281-04
修稿时间:2006-11-15

GROWTH AND CHARACTERISTICS OF MAGNESIUM-DOPED NEAR-STOICHIOMETRIC LITHIUM NIOBATE CRYSTAL
YAO Shuhua,WANG Jiyang,LIU Hong,HU Xiaobo,ZHANG Huaijin,WU Jianbo,QING Xiaoyong. GROWTH AND CHARACTERISTICS OF MAGNESIUM-DOPED NEAR-STOICHIOMETRIC LITHIUM NIOBATE CRYSTAL[J]. Journal of The Chinese Ceramic Society, 2007, 35(3): 281-284
Authors:YAO Shuhua  WANG Jiyang  LIU Hong  HU Xiaobo  ZHANG Huaijin  WU Jianbo  QING Xiaoyong
Affiliation:1, State Key Laboratory of Crystal Materials, Shandong University, Shandong, Jinan 250100; 2, Deqing Huaying Electronics Company, Deqing 313200, Zhejiang, China
Abstract:An magnesium(MgO)-doped near-stoichiometric lithium niobate crystal(MgO:SLN)of 40 mm in diameter and 60 mm in length was grown by an improved Czochralski technique from a 58.5%(in molar fraction,the same below)Li melt doped with 2% MgO in a platinum crucible.The concentration of Nb 5 and Mg 2 in the growth crystal was measured by X-ray fluorescence.The defects structure of MgO:SLN was investigated by ultraviolet absorption spectra and infrared absorption spectra.The MgO:SLN crystal exhibited a shorter absorption edge wavelength,and the OH-infrared absorption band showed that the MgO doping concentra-tion of the MgO:SLN crystal exceeded the optical damage resistance threshold concentration.The specific heat capacity of the crystal was measured to be 0.69 J/(g.K)and was higher than that of congruent LiNbO3(CLN)crystal 0.64 J/(g.K).
Keywords:magnesium-doped lithium niobate crystal  near-stoichiometric  Czochralski method
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