Steep‐Slope IGZO Transistor Monolithically Integrated with Initialization‐Free Ag/Ti/Hf<sub>0.8</sub>Zr<sub>0.2</sub>O<sub>2</sub> Atomic Threshold Switch

Abstract A steep‐slope In‐Ga‐Zn‐O (IGZO) field‐effect transistor (FET) monolithically integrated with an Ag/Ti/Hf 0.8 Zr 0.2 O 2 atomic threshold switch (ATS) device is presented, which allows switching below the Boltzmann limit of 60 mV dec −1 at room temperature (25 °C). The low‐temperature processable IGZO FET is combined with the Hf 0.8 Zr 0.2 O 2 ‐based ATS device, which featured initialization‐free and low‐voltage switching, to achieve an ultra‐low power device solution with back‐end‐of‐line process compatibility (≤400 °C). To further assess the potential of the ATS‐IGZO FET devices for circuit applications, they are applied to logic and memory integrated circuits. Inverter ring oscillator simulations are performed to investigate the relationship between switching speed and power consumption. In addition, static random‐access memory simulations are performed to verify that ATS‐IGZO FETs can achieve a stable noise margin along with low standby power consumption. This comprehensive evaluation provides an in‐depth assessment of the applicability of ATS‐IGZO FETs for ultra‐low power logic and memory applications, highlighting their potential for substantial performance improvements.

Authors

Institutions

Publication Details

Journal
Advanced Electronic Materials
Published
2024-12-26
DOI
https://doi.org/10.1002/aelm.202400780
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Steep‐Slope IGZO Transistor Monolithically Integrated with Initialization‐Free Ag/Ti/Hf0.8Zr0.2O2 Atomic Threshold Switch

Hanggyo Jung, Hyoungsub Kim, Heesoo Lee, Deokjoon Eom et al.
Advanced Electronic Materials
Advanced Memory and Neural Computing
article

Steep‐Slope IGZO Transistor Monolithically Integrated with Initialization‐Free Ag/Ti/Hf0.8Zr0.2O2 Atomic Threshold Switch

Hanggyo Jung, Hyoungsub Kim, Heesoo Lee, Deokjoon Eom, Yong‐Hoon Kim, Jongwook Jeon, Jun‐Mo Park, Hyunhee Kim
article en

Abstract

Abstract A steep‐slope In‐Ga‐Zn‐O (IGZO) field‐effect transistor (FET) monolithically integrated with an Ag/Ti/Hf 0.8 Zr 0.2 O 2 atomic threshold switch (ATS) device is presented, which allows switching below the Boltzmann limit of 60 mV dec −1 at room temperature (25 °C). The low‐temperature processable IGZO FET is combined with the Hf 0.8 Zr 0.2 O 2 ‐based ATS device, which featured initialization‐free and low‐voltage switching, to achieve an ultra‐low power device solution with back‐end‐of‐line process compatibility (≤400 °C). To further assess the potential of the ATS‐IGZO FET devices for circuit applications, they are applied to logic and memory integrated circuits. Inverter ring oscillator simulations are performed to investigate the relationship between switching speed and power consumption. In addition, static random‐access memory simulations are performed to verify that ATS‐IGZO FETs can achieve a stable noise margin along with low standby power consumption. This comprehensive evaluation provides an in‐depth assessment of the applicability of ATS‐IGZO FETs for ultra‐low power logic and memory applications, highlighting their potential for substantial performance improvements.

Advanced Electronic MaterialsVol. 11(9)
Sungkyunkwan University (KR)
National Research Foundation, National Research Foundation of Korea, Gyeonggi-do Regional Research Center, Ministry of Science and ICT, South Korea
Affordable and clean energy
Openalex Percentile: Top 78%
Advanced Memory and Neural Computing
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.