Efficient learning and crossbar operations with atomically-thin 2-D material compound synapses
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DOI: 10.1063/1.5042468
Abstract: Accurate and efficient synaptic weight programming and vector-matrix multiplication are demonstrated using compound synapses constructed with ultralow power binary memristive devices having oxidized atomically thin two-dimensional hexagonal boron nitride (BNOx) filament formation layers. Experimental data… read more here.
Keywords: weight programming; power; synaptic weight; atomically thin ... See more keywords