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Two-dimensional materials like graphene and transition metal dichalcogenides offer unique properties ideal for neuromorphic and artificial sensory devices, enabling precise emulation of neural functions with enhanced energy efficiency and flexibility. Despite their potential, challenges such as scalability, uniformity, and stability hinder widespread adoption. This review explores advancements, applications in robotics and AI, and future challenges in scaling 2D-based neuromorphic devices for real-world use.
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