Review of 2D Materials in Neuromorphic Computing

This review article discusses the integration of two-dimensional materials like transition metal dichalcogenides and hexagonal boron nitride into neuromorphic systems. It highlights applications including wearable electronics, brain-machine interfaces, and quantum-classical hybrid architectures for energy-efficient AI. The text notes that while these materials enable synaptic behaviors such as spike-timing-dependent plasticity, challenges in reproducibility, scalability, and stability persist. No specific project dates or TRL values are provided.