Two-dimensional layered transition metal dichalcogenides (2D TMDCs), such as tungsten disulfide, molybdenum
disulfide, compounds based on rhenium, and their heterostructures, have been used to fabricate
artificial synaptic devices that combine memory, computation, and sensing in a single system. By using a
combination of optoelectronic/electronic signal processing systems, these devices have demonstrated
multi-state memory, pattern-recognition capabilities, biological synaptic behavior, and visual information
processing. Their advanced scalability and integration potential render them ideal candidates for emerging
neuromorphic memories in edge AI and wearable devices. Although ultra-low energy consumption in neuromorphic
vision systems in the range of femtojoules has been achieved, optimizing the materials’ quality and
controlling the defect formation are still required to enhance their functionality and improve the devices’ performance.
Improving the scalability of heterostructures and integrating many single devices in arrays operating
as part of a neuromorphic system are paramount to their commercialization.
DOI: 10.1016/j.device.2025.100805
Publication Date: 2025