Phase Transitions of Correlated Oxides and Neuromorphic Electronics
author： time：2019-12-18 clicks：
Time and place: 2019.12.20, 13:30 pm, Wuhan National High Magnetic Field Center C204
Presenter: Jian Shi
Title: Phase Transitions of Correlated Oxides and Neuromorphic Electronics
As the finest computing system in our planet, human brain outperforms IBM Blue Gene at many aspects (energy efficiency, memory capacity and computational speed). Inspired by biological neural systems, neuromorphic systems open up new computing paradigms to explore cognition, learning and limits of parallel computation. In our brains, synapse is believed to be responsible for the learning and memory behaviors. The success of synapse concept at software-level artificial neural networks in the applications of voice and image recognitions has been driving the search for their hardware counterpart – synaptic transistor. Here we emulate the synapse by using a strongly correlated oxide – SmNiO3.