Computing: Memristive Devices with Highly Repeatable Analog States Boosted by Graphene Quantum Dots (Small 20/2017)

In article number 1603435, by Rong Zhao and co-workers, graphene quantum dots are introduced into memristive devices as nano oxygen-reservoirs. As a result, repeatable analog states of memristive devices are attained with nearly 85% reduction in variations, indicating highly controllable synaptic weight changes. The controllable artificial synapses could equip neural networks with accurate and efficient learning capability.