EXAFS determination of the Nd3+ lattice position in Nd:LiNbO3: influence of lithium niobate stoichiometry and Mg2+ and Zn2+ co-doping

2001 ◽  
Vol 323-324 ◽  
pp. 331-335 ◽  
Author(s):  
M Vila ◽  
A de Bernabé ◽  
C Prieto
Keyword(s):  
Lithium Niobate ◽  
Co Doping ◽  
Lattice Position

Experimental determination of the luminescent quantum efficiency of the green emission of Er3+ ions in Lithium Niobate

1998 ◽  
Vol 107 (9) ◽  
pp. 487-490 ◽  
Author(s):  
J.A. Muñoz ◽  
R.E. Di Paolo ◽  
R. Duchowicz ◽  
J.O. Tocho ◽  
F. Cussó
Keyword(s):  
Lithium Niobate ◽  
Experimental Determination ◽  
Quantum Efficiency ◽  
Green Emission

scholarly journals Determination of the Chemical Composition of Lithium Niobate Powders

Crystals ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 340 ◽  
Author(s):  
Oswaldo Sánchez-Dena ◽  
Carlos J. Villagómez ◽  
César D. Fierro-Ruíz ◽  
Artemio S. Padilla-Robles ◽  
Rurik Farías ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Lithium Niobate ◽  
Single Crystals ◽  
Structure Refinement ◽  
Linear Equations ◽  
Powdered Material ◽  
X Ray Diffraction ◽  
X Ray ◽  
Scattering Effects

Existent methods for determining the composition of lithium niobate single crystals are mainly based on their variations due to changes in their electronic structure, which accounts for the fact that most of these methods rely on experimental techniques using light as the probe. Nevertheless, these methods used for single crystals fail in accurately predicting the chemical composition of lithium niobate powders due to strong scattering effects and randomness. In this work, an innovative method for determining the chemical composition of lithium niobate powders, based mainly on the probing of secondary thermodynamic phases by X-ray diffraction analysis and structure refinement, is employed. Its validation is supported by the characterization of several samples synthesized by the standard and inexpensive method of mechanosynthesis. Furthermore, new linear equations are proposed to accurately describe and determine the chemical composition of this type of powdered material. The composition can now be determined by using any of four standard characterization techniques: X-Ray Diffraction (XRD), Raman Spectroscopy (RS), UV-vis Diffuse Reflectance (DR), and Differential Thermal Analysis (DTA). In the case of the existence of a previous equivalent description for single crystals, a brief analysis of the literature is made.

scholarly journals Computer simulation of metal co-doping in lithium niobate

2014 ◽  
Vol 470 (2171) ◽  
pp. 20140406 ◽  
Author(s):  
Romel M. Araujo ◽  
Mário E. G. Valerio ◽  
Robert A. Jackson
Keyword(s):  
Computer Simulation ◽  
Solid State ◽  
Lithium Niobate ◽  
Computer Modelling ◽  
Defect Chemistry ◽  
Experimental Results ◽  
Solid State Reactions ◽  
Co Doping ◽  
Nonlinear Properties ◽  
Electro Optic

Lithium niobate, LiNbO 3 , is an important technological material with good electro-optic, acousto-optic, elasto-optic, piezoelectric and nonlinear properties. Computer modelling provides a useful means of determining the properties of the material, including its defect chemistry, and the effect of doping on the structure. In this work, double-doped LiNbO 3 was studied, and the energetics of the solid-state reactions leading to incorporation of the dopants was calculated. The following combinations of dopants were studied: Fe and Cu; Ce and Cu; Ce and Mn; Fe and Rh; and Ru and Fe. For most of these combinations, the co-doping process decreases the energy required for incorporation of the dopants, and the final defect configurations are consistent with experimental results, where available.

scholarly journals Optical determination of three-dimensional nanotrack profiles generated by single swift-heavy ion impacts in lithium niobate

2006 ◽  
Vol 89 (7) ◽  
pp. 071923 ◽  
Author(s):  
J. Olivares ◽  
A. García-Navarro ◽  
G. García ◽  
A. Mýndez ◽  
F. Agulló-López
Keyword(s):  
Lithium Niobate ◽  
Three Dimensional ◽  
Heavy Ion ◽  
Swift Heavy Ion ◽  
Optical Determination

scholarly journals Enhancement of Photorefraction in Vanadium-Doped Lithium Niobate through Iron and Zirconium Co-Doping

Materials ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3143 ◽  
Author(s):  
Shahzad Saeed ◽  
Hongde Liu ◽  
Liyun Xue ◽  
Dahuai Zheng ◽  
Shiguo Liu ◽  
...  
Keyword(s):  
Lithium Niobate ◽  
Diffraction Efficiency ◽  
Czochralski Method ◽  
Fast Response ◽  
Holographic Storage ◽  
Co Doping ◽  
Dynamic Holography ◽  
Lithium Niobate Crystals ◽  
High Diffraction ◽  
Co Doped

A series of mono-, double-, and tri-doped LiNbO3 crystals with vanadium were grown by Czochralski method, and their photorefractive properties were investigated. The response time for 0.1 mol% vanadium, 4.0 mol% zirconium, and 0.03 wt.% iron co-doped lithium niobate crystal at 488 nm was shortened to 0.53 s, which is three orders of magnitude shorter than the mono-iron-doped lithium niobate, with a maintained high diffraction efficiency of 57% and an excellent sensitivity of 9.2 cm/J. The Ultraviolet-visible (UV-Vis) and OH− absorption spectra were studied for all crystals tested. The defect structure is discussed, and a defect energy level diagram is proposed. The results show that vanadium, zirconium, and iron co-doped lithium niobate crystals with fast response and a moderately large diffraction efficiency can become another good candidate material for 3D-holographic storage and dynamic holography applications.

Determination of Electro-Optical Coefficients of Lithium Niobate Crystals

2019 ◽  
Vol 806 ◽  
pp. 175-179
Author(s):  
Alexander Vjacheslavovich Syuy ◽  
Nikolay N. Prokopiv ◽  
Nikolay V. Sidorov ◽  
Mikhail N. Palatnikov ◽  
Il'ya S. Dolgopolov ◽  
...  
Keyword(s):  
Lithium Niobate ◽  
Zinc Concentration ◽  
Polarization Method ◽  
Optical Coefficient ◽  
Lithium Niobate Crystals

The electro-optical coefficients r22, rе of doped lithium niobate crystals were determined by the interference-polarization method, depending on the zinc concentration in the range 0.018-0.88 wt. %. The dependence of the electro-optical coefficient on the zinc concentration is nonlinear. The values r22, rе are determined.

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