Enhanced Mobility and Stability in Solution‐Processed Mo–Pr Co‐Doped In 2 O 3 TFTs Guided by Machine Learning Optimization

作者：Weixin Cheng, Yuexin Yang, Han Li, Xiao‐Qin Wei, Honglong Ning, Guoping Su, Shaojie Jin, Chenbo Min, Rihui Yao, Junbiao Peng · 发表于：Electron · 年份：2025 · DOI：10.1002/elt2.70020 · 被引用次数：2 · 研究领域：Thin-Film Transistor Technologies、Transition Metal Oxide Nanomaterials、Chalcogenide Semiconductor Thin Films

ABSTRACT In 2 O 3 ‐based TFTs have garnered widespread attention due to their higher mobilities than amorphous silicon. Previous studies have indicated that rare earth doping can enhance the NBIS stability of TFTs, but this often results in a decrease in mobility. To improve the mobility of TFTs while maintaining stability, we incorporated Mo and Pr into In 2 O 3 , fabricating InPrMoO TFTs. Mo doping is believed to positively affect In 2 O 3 through reducing porosity and defects. Pr doping has been proposed as a potential strategy to enhance the NBIS stability of In 2 O 3 . A nondestructive μPCD detector was employed to characterize the local defect states of the film. X‐ray photoelectron spectroscopy data demonstrate that the InPrMoO film with 0.8 mol% Mo doping has the lowest concentration of oxygen vacancies (Vo). TFTs fabricated using the InPrMoO film doped with an optimized concentration of 0.8 mol% Mo exhibit superior electrical properties ( μ sat = 12.2 cm 2 /V·s, V th = 1.6 V, I on / I off = 2.17 × 10 6 , and SS = 0.47 V/dec) and the minimal Δ V th under NBS/PBS/NBIS = −0.65 V/0.79 V/−0.70 V. The synergistic effect of Mo and Pr doping has led to enhanced film uniformity and density, consequently improving the mobility and stability of the TFTs. To tackle the challenge of predicting optimal process parameters, a multiobjective prediction model integrating physical models and machine learning was developed. The predicted optimal parameters (0.78 mol% Mo doping, 381°C an...