Doping is a useful technique for metal oxide thin-film transistors (TFTs) to adjust the threshold voltage and charge carrier density. However, a notable drawback is the disruption of the microstructure caused by doping crystalline lattice, leading to a partial decrease in charge carrier mobility. In this work, we suggest a surface doping technique that modifies the carrier concentration and passivates the device surface while preserving the channel layer lattice structure through the use of organic dopant molecules. It is shown that tin oxide (SnO2) TFTs doped in this manner typically exhibit improved electrical characteristics, particularly greater mobility and a noticeably lower threshold voltage, without negatively affecting the devices on/off current ratio. Furthermore, compared to pristine devices, bias stress stability and long-term durability are also enhanced. These findings suggest that surface doping may find use in high-performance oxide semiconductor devices and circuits.
This study presents a comprehensive approach to fine-tuning Cesium Lead Chloride Perovskite Field-Effect Transistors (CsPbCl3-FETs) for sensing applications by bridging numerical modeling with experimental validation. By combining finite element methods in COMSOL Multiphysics for optimization, we tailored FET parameters such as oxide and perovskite thin film thickness. The fabricated FET, with a 200 nm semiconductor layer and 30 nm oxide thickness, was strategically chosen to operate in a non-depletion mode, maximizing mobility while minimizing power consumption. Experimental results closely aligned with numerical simulations, showcasing a threshold voltage of 0.50 V±0.07 V and an impressive on/off current ratio of 1.50 x 104 ± 0.3 x 104. Notably, the perovskite FET exhibited remarkable carrier mobility in saturation mode, reaching 5.40 cm2/V-s ± 0.8 cm2/V-s, outperforming other attempts in the literature. This work underscores the potential of CsPbCl3 FETs for high-performance sensing applications, offering insights into optimizing device parameters for enhanced functionality and efficiency.