Photoactive Monolayer MoS₂ for Spiking Neural Networks Enabled Machine Vision Applications (Adv. Mater. Technol. 16/2025)

Neuromorphic Computing In article number 2401677, Akram AI-Hourani, Sumeet Walia, and co-workers demonstrate the potential of chemical vapor deposition grown visible-active, atomically thin molybdenum disulfide (MoS2) monolayers in replicating the charging and discharging states of LIF neurons through their photoelectrical response. Gate voltage modulation is employed to swiftly reset the neuron, enabling the replication of LIF dynamics and fast system responsiveness. This demonstrates that the potential of photoactive 2D materials for SNNs, representing a step in the development of real-time, energy efficient neuromorphic computing. Art by the team of INMYWORK Studio.