SmallTalks "Brain-inspired neuromorphic computing using two dimensional materials"

Abstract 

Neuromorphic computing is a cutting-edge approach to designing computer systems inspired by the structure and functioning of the human brain. Unlike conventional computers, which rely on von Neumann processing techniques, neuromorphic systems use artificial neurons and synapses to mimic human cognition abilities such as pattern recognition, sensory processing, and decision-making more efficiently. Two-dimensional (2D) materials, such as graphene, transition metal dichalcogenides (TMDs), and hexagonal boron nitride, have emerged as promising candidates for advancing neuromorphic systems. These materials exhibit unique electrical, optical, and mechanical properties, including atomic thinness, tunable bandgaps, high carrier mobility, and scalability, which make them ideal for constructing energy-efficient, high-performance synaptic and neuronal components. This presentation explores how 2D materials could revolutionize technologies like artificial intelligence, smart devices, and low-power electronics for a more sustainable and connected future.