![]() ![]() 10,11 Recently, the optical properties of MoTe 2 phototransistors have been widely studied. 8,9 This bandgap feature suggests that MoTe 2 is one of the favorable candidates for visible and near-infrared photodetectors. With a reduced number of layers, MoTe 2 ranges from the indirect bandgap of 0.83 eV for bulk to the direct bandgap of 1.1 eV for the monolayer. 7 Among TMDCs, molybdenum ditelluride (MoTe 2) is a typical representative which consists of Te-Mo-Te layers bonded by van der Waals forces. 1–4 These materials have versatile applications in electronic and optoelectronic devices due to their compelling properties, including ultrathin structures, 5 tunable band structures with different layers, 6 and free of dangling bonds. This β-Ga 2O 3 phototransistor will provide a perspective for the next generation optoelectrical systems.In recent years, intensive research efforts have been devoted to the investigation of transition-metal dichalcogenides (TMDCs). Additionally, the hexagonal boron nitride (h-BN)/β-Ga 2O 3 phototransistor can behave as a photonic synapse with ultralow power consumption of ~ 9.6 fJ per spike, which shows its potential for neuromorphic computing tasks such as facial recognition. Besides, first-principles calculations reveal the decent stability of β-Ga 2O 3 nanosheet against oxidation and humidity without significant performance degradations. ![]() ![]() The phototransistor shows excellent DUV photoelectrical performance with a high responsivity of 1.01 × 10 7 A/W, a high external quantum efficiency of 5.02 × 10 9%, a sensitive detectivity of 2.98 × 10 15 Jones, and a fast rise time of 0.2 s under 250 nm illumination. In order to further improve the responsivity of UV photodetectors based on β-Ga 2O 3, in present work, high-performance β-Ga 2O 3 phototransistors with local back-gate structure were experimentally demonstrated. ![]() Deep ultraviolet (DUV) phototransistors are key integral of optoelectronics bearing a wide spectrum of applications in flame sensor, military detector, oil spill detection, biological sensor, and artificial intelligence fields. ![]()
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