Materials and Devices for Brain-like Computing

Alberto Salleo*

The brain can perform massively parallel information processing while consuming only ~1- 100 fJ per synaptic event. There is much interest recently in emulating the way the brain computes to complement, augment, or in some cases replace traditional digital CPUs. Thus, there are opportunities to develop new materials and devices for brain-like, or neuromorphic, computing. Two-terminal devices of interest comprise defective oxide films, atomically thin metal filaments embedded in insulating matrices, and phase-change materials. Furthermore, electrochemical devices that make use of oxides, conducting polymers or redox-active molecules have also attracted recent attention in two and three-terminal artificial synapses. The symposium will cover recent advances and future directions of a variety of materials and device technologies for neuromorphic computing.

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