Fig. 3: Uniformity and repeatability of 8-bit programming. | Nature Communications

Fig. 3: Uniformity and repeatability of 8-bit programming.

From: 8-bit states in 2D floating-gate memories using gate-injection mode for large-scale convolutional neural networks

Fig. 3

a OM image of the fabricated 256 devices. Scale bar: 0.2 mm. Inset: OM image of a typical device among the 256 devices (scale bar: 30 μm). The channel’s width/length is 11.22/3.11 μm (see Supplementary Fig. 24 for detailed geometric parameters). b Dual-sweep transfer curves of the devices. About 92.9% of devices have an on-state current exceeding 100 nA (Supplementary Fig. 25). The uniformity of transfer curves is comparable with previous works (Supplementary Fig. 26)31,75. c Current maps of the programmed 9 separate states. Sites in blue denote the 13 broken devices. d 256 programmed states for 120 devices. e device-to-device variation as a function of state number. f current distributions of selected adjacent states extracted from (d). Read voltage: 1 V. The programming method and parameters are the same as those used in Supplementary Figs. 11 and 12.

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