Artificial Synapse Based on Black Phosphorus/SnS₂ Heterostructure Transistor for Neuromorphic Computing with High Accuracy.

ABSTRACT: Artificial synaptic devices have garnered significant attention for overcoming the limitations of conventional von Neumann architecture in neuromorphic computing. However, the reported nonlinear weight update of artificial synapses prevents a hardware neural network from achieving the same high training and learning accuracy levels as those attained by a soft neural work. Despite the large-area fabrication constraints, two-dimensional (2D) materials that have tunable electronic band alignment and optoelectronic properties have emerged as promising candidates for artificial synapses. Here, we demonstrate an artificial synaptic device based on a black phosphorus (BP)/SnS₂ van der Waals heterostructure. This device achieves a large memory window and successfully emulates various sy

SUBMITTER: Lv W 

PROVIDER: S-EPMC12573176 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature