Neuromorphic electronics has emerged for energy-efficient computing by mimicking the brain nervous systems, which can process and memorize the data at the same time with ultralow operating power. Artificial synapse – based neuromorphic system is widely regarded as a feasible substitute for the von Neumann architecture. Our group aims to integrate nanomaterials, advanced manufacturing, and simulation to design and scalable manufacturing of artificial synapse, and corresponding brain-mimic architecture of artificial synapse arrays. Inspired by brain neuron system, we will further integrate such brain-mimic AI into the additive manufacturing for autonomous process control and quality monitoring.
