ON-state retention of Atom Switch eNVM for IoT/AI Inference Solution

An ON-state retention of a 40nm-node atom switch embedded nonvolatile memory (eNVM) has been carefully investigated for IoT/AI inference solution. Based on ON-conductance (Gon) tuning model of atom switch, one order of magnitude lower programming power is achieved while keeping the same Gon. Smaller ON-state retention dependences on temperature (Ea = 0.2eV) and time (n = 0.11) are experimentally clarified and the lifetime is predicted to be more than 10 years at 150°C under +20% shift criteria of Gon.

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