|
|
|
|
|
|
Effects of Thickness on Spectral Properties of Undoped ZnO Thin Films |
YANG Chang-hu, YUAN Jian-hui |
School of Physics and Electronic Science,Changsha University of Science and Technology, Changsha 410114,China |
|
|
Abstract X-ray diffraction spectrum, Raman spectroscopy and UV-Vis transmission spectroscopy are important techniques for detecting thin films. By analysing these spectral properties, we can obtain the information of the phase, crystal structure and light transmission properties of the films. The films with different thicknesses were prepared on a quartz glass substrate by sol-gel and spin coating method. The X-ray diffraction, Raman spectroscopy and UV-Vis transmission spectrum detection of the samples were carried out. Firstly, the X-ray diffraction shows that the films exhibit peak (002) crystal plane. The ZnO thin films are hexagonal wurtzite structures and grow along the c-axis preferred orientation. With the increase of the film thickness, the (002) peak is enhanced, and the grain size of the ZnO grows with the increase of the film thickness. Scanning electron microscopy analysis of the film’s surface morphology also shows that the film surface is compact and uniform, with nanocrystalline structure and obvious hexagonal shape. Secondly, the Raman spectrum detection shows that 437 cm-1 Raman peak appears in all samples, which is the characteristic Raman peak of the ZnO wurtzite structure. With the increase of film thickness, the intensity of 437 cm-1 peak also increases, which further indicates that the crystallization of film is strengthened with the increase of film thickness. Finally, It is found that the absorption edge of the film has a certain redshift with the increase of the film thickness based on that of the UV-Vis transmission spectrum. The transmittance of the film in the visible region decreases slightly with the increase of the film thickness, but the average transmittance is above 90%. On this basis, the further theoretical calculation of the experimental results shows that the change of thickness has little effect on the refractive index of the film samples, but the bandgap width becomes narrow with the increase of the thickness of the film. However, the bandgap width of undoped ZnO films is larger than the theoretical value of 3.37 eV. Further analysis shows that the change of ZnO film thickness is positively related to the change of ZnO grain size. Essentially, the change of absorption edge or optical band gap is caused by the change of ZnO grain size.
|
Received: 2020-09-08
Accepted: 2021-01-20
|
|
|
[1] QIAO Jin, XU Chang-shan, ZHANG Hai-jiao, et al(乔 金,徐长山,张海娇,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2019, 39(5): 1495.
[2] Ponja S D, Sathasivam S, Parkin I P, et al. Nature, 2020, 10: 638.
[3] Yuan Z C, Bai S, Yan Z, et al. Chem. Commun., 2018, 54(50): 6887.
[4] Kim K, Sim K M, Yoon S, et al. Adv. Funct. Mater., 2018,28(30): 1802582.
[5] Mallick A, Basak D. Prog. Mater. Sci., 2018, 96: 86.
[6] Goncalves R S, Barrozo P, Brito G L, et al. Thin Solid Films, 2018, 661: 40.
[7] Tsai D C, Chang Z C, Kuo B H, et al. J. Alloy. Compd., 2018, 743: 603.
[8] Abdallah B, Jazmati A K, Refaai R, et al. Mat. Res., 2017, 20(3) : 607.
[9] Poongodi G, Anandan P, Kumar R M, et al. Spectrochim. Acta A, 2015, 148(9): 237.
[10] Meng F, Ge F, Chen Y, et al. Surf. Coat. Tech., 2019, 365(5): 2.
[11] Kunj S, Sreenivas K. Curr. Appl. Phys., 2016, 16(7): 748.
[12] Aydın H, Aydın C, Al-Ghamdi A A, et al. Optik, 2016. 127(4): 1879.
[13] Ohlídal I, Vohánka J, Mistrík J, et al. Thin Solid Films, 2019,692(12): 31.
[14] Slimani Y, Selmi A, Hannachi E, et al. J. Mater. Sci: Mater. Electron., 2019, 30(4): 9520.
[15] Shah A, Ahmad M, Rahmanuddin, et al. Appl. Phys. A, 2019, 125(9): 713. |
[1] |
ZHENG Hong-quan, DAI Jing-min*. Research Development of the Application of Photoacoustic Spectroscopy in Measurement of Trace Gas Concentration[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 1-14. |
[2] |
CHENG Jia-wei1, 2,LIU Xin-xing1, 2*,ZHANG Juan1, 2. Application of Infrared Spectroscopy in Exploration of Mineral Deposits: A Review[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 15-21. |
[3] |
FAN Ping-ping,LI Xue-ying,QIU Hui-min,HOU Guang-li,LIU Yan*. Spectral Analysis of Organic Carbon in Sediments of the Yellow Sea and Bohai Sea by Different Spectrometers[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 52-55. |
[4] |
LI Jie, ZHOU Qu*, JIA Lu-fen, CUI Xiao-sen. Comparative Study on Detection Methods of Furfural in Transformer Oil Based on IR and Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 125-133. |
[5] |
WANG Fang-yuan1, 2, HAN Sen1, 2, YE Song1, 2, YIN Shan1, 2, LI Shu1, 2, WANG Xin-qiang1, 2*. A DFT Method to Study the Structure and Raman Spectra of Lignin
Monomer and Dimer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 76-81. |
[6] |
BAI Xi-lin1, 2, PENG Yue1, 2, ZHANG Xue-dong1, 2, GE Jing1, 2*. Ultrafast Dynamics of CdSe/ZnS Quantum Dots and Quantum
Dot-Acceptor Molecular Complexes[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 56-61. |
[7] |
XU Tian1, 2, LI Jing1, 2, LIU Zhen-hua1, 2*. Remote Sensing Inversion of Soil Manganese in Nanchuan District, Chongqing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 69-75. |
[8] |
YANG Cheng-en1, 2, LI Meng3, LU Qiu-yu2, WANG Jin-ling4, LI Yu-ting2*, SU Ling1*. Fast Prediction of Flavone and Polysaccharide Contents in
Aronia Melanocarpa by FTIR and ELM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 62-68. |
[9] |
LIU Zhen1*, LIU Li2*, FAN Shuo2, ZHAO An-ran2, LIU Si-lu2. Training Sample Selection for Spectral Reconstruction Based on Improved K-Means Clustering[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 29-35. |
[10] |
YANG Chao-pu1, 2, FANG Wen-qing3*, WU Qing-feng3, LI Chun1, LI Xiao-long1. Study on Changes of Blue Light Hazard and Circadian Effect of AMOLED With Age Based on Spectral Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 36-43. |
[11] |
GAO Feng1, 2, XING Ya-ge3, 4, LUO Hua-ping1, 2, ZHANG Yuan-hua3, 4, GUO Ling3, 4*. Nondestructive Identification of Apricot Varieties Based on Visible/Near Infrared Spectroscopy and Chemometrics Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 44-51. |
[12] |
ZHENG Pei-chao, YIN Yi-tong, WANG Jin-mei*, ZHOU Chun-yan, ZHANG Li, ZENG Jin-rui, LÜ Qiang. Study on the Method of Detecting Phosphate Ions in Water Based on
Ultraviolet Absorption Spectrum Combined With SPA-ELM Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 82-87. |
[13] |
XU Qiu-yi1, 3, 4, ZHU Wen-yue3, 4, CHEN Jie2, 3, 4, LIU Qiang3, 4 *, ZHENG Jian-jie3, 4, YANG Tao2, 3, 4, YANG Teng-fei2, 3, 4. Calibration Method of Aerosol Absorption Coefficient Based on
Photoacoustic Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 88-94. |
[14] |
LI Xin-ting, ZHANG Feng, FENG Jie*. Convolutional Neural Network Combined With Improved Spectral
Processing Method for Potato Disease Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 215-224. |
[15] |
XING Hai-bo1, ZHENG Bo-wen1, LI Xin-yue1, HUANG Bo-tao2, XIANG Xiao2, HU Xiao-jun1*. Colorimetric and SERS Dual-Channel Sensing Detection of Pyrene in
Water[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 95-102. |
|
|
|
|