Related Experiment Video
Updated: Jul 3, 2026

Light Enhanced Hydrofluoric Acid Passivation: A Sensitive Technique for Detecting Bulk Silicon Defects
Published on: January 4, 2016
Boosting Performance of Ga2O3 Thin-Film Transistors via Defect Passivation toward Solar-Blind Ultraviolet In-Sensor
Peng Li1, Jiajuan Shi1, Zhuangzhuang Li1
1State Key Laboratory of Integrated Optoelectronics, Key Laboratory for UV Light-Emitting Materials and Technology of Ministry of Education, School of Physics, Northeast Normal University, 5268 Renmin Street, Changchun 130024, China.
None:
Ga2O3 thin-film transistors (TFTs) are resilient to high temperatures and voltages and are suitable for demanding display and sensing applications. Nevertheless, the performance of current Ga2O3 TFTs is constrained by defect-induced impediments to free carrier transport. This work introduces a strategy comprising nitrogen annealing followed by Al2O3 encapsulation via atomic layer deposition, which boosts the mobility and solar-blind UV responsivity of Ga2O3 TFTs by more than 27-fold and 94-fold, respectively. The combined results of high-resolution transmission electron microscopy characterization and computer-aided design simulation ascribe these enhancements to the effective passivation of deep-level defects at the interface, in the bulk, and on the surface of Ga2O3. Furthermore, the competition and synergy between photoconduction and gating in Ga2O3 TFTs yield a gate-voltage-programmable photoresponse, allowing for the control of both the responsivity and response time. Leveraging this, a solar-blind UV in-sensor reservoir computing system based on Ga2O3 TFTs is demonstrated, which achieves over 91.8% accuracy in fingerprint image recognition even under 40% noise. This work integrates an effective defect passivation strategy with a clarified modulation mechanism and further demonstrates its application in neuromorphic computing. The approach presented here shows a broad potential for extension to other wide-bandgap semiconductor systems.

