Reliability-Ensured and Fast (&lt; 100 ns) Analog Synapse for Training Accelerators: All-Sputtered HfOy/HfO<sub>x</sub>RRAM

We reveal that sputtered HfO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</inf>, which has been often neglected in resistive random access memory (RRAM) design, can be an alternative for highly reliable and fast (< 100 ns) analog synapses to accelerate training algorithms. The sub-stoichiometric HfO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</inf>, enables rapid current update owing to the abundant oxygen vacancies (V<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</inf>). Additional HfOy layer with increased stoichiometry makes uniformly distributed Vo profile across the entire HfOy/HfO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</inf>RRAM stack, enhancing reliability in dynamic synaptic operation, where multiple pulses are continuously addressed. This not only results in robust device-to-device/cycle-to-cycle uniformity, but also ensures multilevel retention, which is further validated by real-time transient current analysis.

Authors

Institutions

Publication Details

Published
2025-03-30
DOI
https://doi.org/10.1109/irps48204.2025.10983653
Primary Topic
Semiconductor materials and devices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reliability-Ensured and Fast (< 100 ns) Analog Synapse for Training Accelerators: All-Sputtered HfOy/HfOxRRAM

Yunsur Kim, Seonuk Jeon, Jiyong Woo, Seokjae Lim
1 links
Semiconductor materials and devices
article

Reliability-Ensured and Fast (< 100 ns) Analog Synapse for Training Accelerators: All-Sputtered HfOy/HfOxRRAM

Yunsur Kim, Seonuk Jeon, Jiyong Woo, Seokjae Lim
article en

Abstract

We reveal that sputtered HfO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</inf>, which has been often neglected in resistive random access memory (RRAM) design, can be an alternative for highly reliable and fast (< 100 ns) analog synapses to accelerate training algorithms. The sub-stoichiometric HfO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</inf>, enables rapid current update owing to the abundant oxygen vacancies (V<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</inf>). Additional HfOy layer with increased stoichiometry makes uniformly distributed Vo profile across the entire HfOy/HfO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</inf>RRAM stack, enhancing reliability in dynamic synaptic operation, where multiple pulses are continuously addressed. This not only results in robust device-to-device/cycle-to-cycle uniformity, but also ensures multilevel retention, which is further validated by real-time transient current analysis.

Kyungpook National University (KR)
Openalex Percentile: Top 91%
Semiconductor materials and devices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.