A Fully Digital Relaxation-Aware Analog Programming Technique for HfOx RRAM Arrays
Hamidreza Erfanijazi, Luis A. Camu\~nas-Mesa, Elisa Vianello, Teresa Serrano-Gotarredona, and Bernab\'e Linares-Barranco

TL;DR
This paper introduces a fully digital, relaxation-aware programming technique for HfOx RRAM arrays that enables multi-level storage with high stability, simplifying control by modulating pulse widths during erase operations.
Contribution
A novel digital method for RRAM conductance tuning that accounts for relaxation effects, eliminating the need for precise analog parameter control.
Findings
Achieved 2-bit multi-level storage per cell in RRAM arrays.
Demonstrated stable storage over 1000 seconds after programming.
Validated the method on a 64-cell HfOx RRAM array in CMOS technology.
Abstract
For neuromorphic engineering to emulate the human brain, improving memory density with low power consumption is an indispensable but challenging goal. In this regard, emerging RRAMs have attracted considerable interest for their unique qualities like low power consumption, high integration potential, durability, and CMOS compatibility. Using RRAMs to imitate the more analog storage behavior of brain synapses is also a promising strategy for further improving memory density and power efficiency. However, RRAM devices display strong stochastic behavior, together with relaxation effects, making it more challenging to precisely control their multi-level storage capability. To address this, researchers have reported different multi-level programming strategies, mostly involving the precise control of analog parameters like compliance current during write operations and/or programming voltage…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Neuroscience and Neural Engineering
