Selective UV Sensing for Energy-Efficient UV-A Artificial Synapses Using a ZnO/ZnGa<sub>2</sub>O<sub>4</sub> Heterojunction Diode.
Ontology highlight
ABSTRACT: As neuromorphic computing systems, which allow for parallel data storage and processing with high area and energy efficiency, show great potential for future storage and in-memory computing technologies. In this article, a high-performance UV detector for artificial optical synapse applications is demonstrated that can selectively detect UV-A and UV-C, with a responsivity of 407 A W-1. The pyrophototronic effect increases photocurrent dramatically under UV-A irradiation due to heat accumulation in the ZnO layer and ZnGa2O4's low thermal conductivity. In context of synaptic device, it's shown that a ZnO/ZnGa2O4 heterostructure can be used as a light-tunable charge trapping medium to create an electro-photoactive synapse. The photogating
SUBMITTER: Khan T
PROVIDER: S-EPMC12019913 | biostudies-literature | 2025 Apr
REPOSITORIES: biostudies-literature
ACCESS DATA