Low-Voltage High-Performance UV Photodetectors: An Interplay between Grain Boundaries and Debye Length
Source abstract
Abstract
Accurate detection of UV light by wearable low-power devices has many important applications including environmental monitoring, space to space communication, and defense. Here, we report the structural engineering of ultraporous ZnO nanoparticle networks for fabrication of very low-voltage high-performance UV photodetectors. A record high photo- to dark-current ratio of 3.3 × 10 5 and detectivity of 3.2 × 10 12 Jones at an ultralow operation bias of 2 mV and low UV-light intensity of 86 μW·cm –2 are achieved by controlling the interplay between grain boundaries and surface depletion depth of ZnO nanoscale semiconductors. An optimal window of structural properties is determined by varying the particle size of ultraporous nanoparticle networks from 10 to 42 nm. We find that small electron-depleted nanoparticles (≤40 nm) are necessary to minimize the dark-current; however, the rise in photocurrent is tampered with decreasing particle size due to the increasing density of grain boundaries. These findings reveal that nanoparticles with a size close to twice their Debye length are required for high photo- to dark-current ratio and detectivity, while further decreasing their size decreases the photodetector performance.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: ZnO doping and properties · Ga2O3 and related materials · Gas Sensing Nanomaterials and Sensors
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Nanotechnology Research Laboratory, Research School of Engineering, Australian National University, Canberra, Australia
Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, Rome, Italy
Department of Electronic Materials Engineering, Research School of Physics and Engineering, Australian National University, Canberra, Australia
Funding
Australian Research Council
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