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中国物理学会期刊

N 2O处理对背沟刻蚀金属氧化物薄膜晶体管性能的影响

CSTR: 32037.14.aps.71.20211350

Effect of N 2O treatment on performance of back channel etched metal oxide thin film transistors

CSTR: 32037.14.aps.71.20211350
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  • 通过采用稀土元素镨掺杂铟锡锌氧化物半导体作为薄膜晶体管沟道层, 成功实现了基于铝酸的湿法背沟道刻蚀薄膜晶体管的制备. 研究了N 2O等离子体处理对薄膜晶体管背沟道界面的影响, 对其处理功率和时间对器件性能的影响做了具体研究. 结果表明, 在一定的功率和时间处理下能获得良好的器件性能, 所制备的器件具有良好的正向偏压热稳定性和光照条件下负向偏压热稳定性. 高分辨透射电镜结果显示, 该非晶结构的金属氧化物半导体材料可以有效抵抗铝酸的刻蚀, 未发现明显的成分偏析现象. 进一步的X射线光电能谱测试表明, N 2O等离子体处理能在界面处形成一个富氧、低载流子浓度的界面层. 其一方面可以有效抵抗器件在沉积氧化硅钝化层时等离子体对背沟道的损伤; 另一方面作为氢的钝化体, 抑制了低能级施主态氢的产生, 为低成本、高效的薄膜晶体管性能优化方式提供了重要参考.

     

    In this paper, the rare earth element praseodymium-doped indium tin zinc oxide semiconductor is used as the channel layer of the thin film transistor, and the aluminum oxide-based wet back channel etched thin film transistor is successfully prepared. The effect of N 2O plasma treatment on the back-channel interface of thin film transistor is studied, and the effect of treatment power and time on device performance are studied in detail. The results show that the good device performance can be obtained under certain power and time treatment, and the prepared device has good thermal stability of positive bias and negative bias under light conditions. The results from high-resolution transmission electron microscopy show that the amorphous structure of the metal oxide semiconductor material can effectively resist the wet etchant, and that no obvious component segregation phenomenon is found. Further, X-ray photoelectric spectroscopy tests show that N 2O plasma treatment can form an oxygen-rich, low-carrier-concentration interface layer at the interface. On the one hand, it can effectively resist the damage of the back channel caused by the plasma of plasma enhanced chemical vapor deposition (PECVD), and on the other hand, it acts as a passivation body of hydrogen from PECVD plasma, suppressing the generation of low-level donor state of hydrogen. This study provides an important reference for low-cost, high-efficiency thin film transistor performance optimization methods.

     

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