Neuromorphic Computing

Neuromorphic computing is inspired by the working of the brain, which performs highly complex tasks while consuming remarkably low power. We employ spintronics to design devices, circuits, and networks to realize hardware implementation of machine learning architectures, i.e., neuromorphic computing. We use our developed hybrid simulation setup to incorporate the diverse physics of spin-transport, magnetization dynamics, and CMOS elements in our designs.