3D vertical-gate (3DVG) NAND flash is a promising candidate for next-generation high-density nonvolatile memory. Cross-layer process variation renders 3DVG NAND susceptible to decreased speeds, yield, and reliability. This can be attributed to (a) cross-layer mismatch in bitline capacitance (
), (b) the need for long program cycles, and (c) sensing-margin (SM) loss induced by the effects of background-pattern-dependency (BPD). This study proposes three circuit-level techniques to overcome these issues by employing the following: (1) distributed NAND-string scramble (DNSS), (2) layer-aware program-verify-and-read (LA-PV-R), and (3) a layer-aware-bitline-precharge (LA-BP) scheme. For an 8-layer 3DVG with 200 mV cross-layer mismatch in cell threshold voltage ( ), DNSS reduces the cross-layer -mismatch by 41%, LA-PV-R using various program-threshold-voltages ( ) for each layer enables a 25% reduction in the number of program cycles, and LA-BP succeeds in reducing BPD-induced SM loss by 56%. A 2-layer 3DVGNAND testchip and 8-layer testkey were fabricated to evaluate the proposed methods. The LA-PV-R and LA-BP have achieved a 0.75 V difference in between layer-0 and layer-1 with a 0.4V difference in BL clamping bias voltages and the LA-BP scheme has achieved a 44% reduction in BPD-induced SM loss. The three proposed schemes incur an area penalty of less than 0.1% in a Gb-scale 3DVG NAND device.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.