Ultra‐Efficient Memristive Voltage‐Resistance Logic Framework With Integrated Readout Strategy Based on Hafnium Zirconium Oxide

ABSTRACT The integration of logic operations and data storage is regarded as a promising strategy for enabling edge computing, a key requirement for real‐time, data‐intensive scientific and industrial applications. Achieving edge‐capable computing, however, requires exceptional spatiotemporal efficiency, and many previously proposed logic schemes still face substantial limitations. Here, we introduce a memristive voltage–resistance (V–R) logic strategy that infers output resistance states without additional incurring area or latency penalties. The approach relies on integrated readout of the discharge behavior into programming of a two‐terminal capacitor‐type memristor. Implemented in an HfO 2 ‐based ferroelectric tunnel junction (FTJ) device with multiple resistive states, this strategy enables a half adder to be computed using a single device in a single step, and a 1‐bit full adder using only three FTJs in three steps—achieving previously unattainable spatiotemporal cost for execution of standard benchmarking tasks. Our work provides a pathway to edge computing by maximizing the spatiotemporal efficiency achievable with memristor‐based logic‐in‐memory.

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Publication Details

Journal
Small Methods
Published
2026-10-29
DOI
https://doi.org/10.1002/smtd.71165
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Ultra‐Efficient Memristive Voltage‐Resistance Logic Framework With Integrated Readout Strategy Based on Hafnium Zirconium Oxide

Hyunjoo Hwang, Jaeseok Kim, Seung‐Eon Ahn, Dante Ahn et al.
3 links
Small Methods
Advanced Memory and Neural Computing
article

Ultra‐Efficient Memristive Voltage‐Resistance Logic Framework With Integrated Readout Strategy Based on Hafnium Zirconium Oxide

Hyunjoo Hwang, Jaeseok Kim, Seung‐Eon Ahn, Dante Ahn, Wonwoo Kho, Hee Chul Lee, Hyunjun Kim, Minseo So, Dongjun Min, Chaerin Han, Dahee Jeong, Narim Lee, Seho Cho
article en

Abstract

ABSTRACT The integration of logic operations and data storage is regarded as a promising strategy for enabling edge computing, a key requirement for real‐time, data‐intensive scientific and industrial applications. Achieving edge‐capable computing, however, requires exceptional spatiotemporal efficiency, and many previously proposed logic schemes still face substantial limitations. Here, we introduce a memristive voltage–resistance (V–R) logic strategy that infers output resistance states without additional incurring area or latency penalties. The approach relies on integrated readout of the discharge behavior into programming of a two‐terminal capacitor‐type memristor. Implemented in an HfO 2 ‐based ferroelectric tunnel junction (FTJ) device with multiple resistive states, this strategy enables a half adder to be computed using a single device in a single step, and a 1‐bit full adder using only three FTJs in three steps—achieving previously unattainable spatiotemporal cost for execution of standard benchmarking tasks. Our work provides a pathway to edge computing by maximizing the spatiotemporal efficiency achievable with memristor‐based logic‐in‐memory.

Small Methods
Tech University of Korea (KR), Korea University (KR), Seoul Semiconductor (South Korea) (KR), Korea Institute of Science and Technology (KR)
Korea Institute for Advancement of Technology, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 24%
Advanced Memory and Neural Computing
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