Thickness‐Defined Transport Regime Toward Near‐Ideal Area‐Type Switching

ABSTRACT Area‐type memristors are attractive for analog in‐memory computing, but their use is often limited by parasitic charge storage, causing readout drift, non‐pinched hysteresis, and degraded readout fidelity. We show that near‐ideal area‐type switching emerges within a tunneling‐governed transport regime in ultrathin layers that suppresses charging‐related readout artifacts. By varying the thickness in TiN/Ta 2 O 5 /Pt in a range of 3–10 nm, we reveal the transition from filamentary switching to near‐short‐circuit transport with two gradual‐switching modes with different readout stability. The 5–6 nm thickness window suppresses non‐pinched hysteresis and short‐time drift while preserving analog switching, yielding nearly polarity‐symmetric hysteresis and readout, clear area scaling, and continuous near‐linear conductance modulation. Our analysis indicates that trap‐assisted tunneling dominates the stabilized‐state response, whereas ionic redistribution governs pristine‐state reconstruction and the stability boundaries. A compact model is derived for the 5 nm device which reproduces the quasi‐static I–V behavior and the dynamic resistance evolution based on pulse‐width‐dependent characteristics. The verified model is provided as Verilog‐A code enabling simulation in circuit design tools. Our results demonstrate that ultrathin scaling is a regime‐defining design rule for near‐ideal area‐type operation in oxide memristors, implying a fundamental approach to fabricating robust multi‐state memristors for in‐memory computing applications.

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2026-10-14
DOI
https://doi.org/10.1002/adma.75393
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thickness‐Defined Transport Regime Toward Near‐Ideal Area‐Type Switching

Thomas Mikolajick, Ronald Tetzlaff, Gianaurelio Cuniberti, Leif Riemenschneider et al.
Advanced Materials
Advanced Memory and Neural Computing
article

Thickness‐Defined Transport Regime Toward Near‐Ideal Area‐Type Switching

Thomas Mikolajick, Ronald Tetzlaff, Gianaurelio Cuniberti, Leif Riemenschneider, Richard Schroedter, Stefan Slesazeck, Benjamin Max, Cuo Wu, Hao Shen, Abdallh Herbawi, Jason Vincent, Junjie Zhao, Hampus Hoffman
article en

Abstract

ABSTRACT Area‐type memristors are attractive for analog in‐memory computing, but their use is often limited by parasitic charge storage, causing readout drift, non‐pinched hysteresis, and degraded readout fidelity. We show that near‐ideal area‐type switching emerges within a tunneling‐governed transport regime in ultrathin layers that suppresses charging‐related readout artifacts. By varying the thickness in TiN/Ta 2 O 5 /Pt in a range of 3–10 nm, we reveal the transition from filamentary switching to near‐short‐circuit transport with two gradual‐switching modes with different readout stability. The 5–6 nm thickness window suppresses non‐pinched hysteresis and short‐time drift while preserving analog switching, yielding nearly polarity‐symmetric hysteresis and readout, clear area scaling, and continuous near‐linear conductance modulation. Our analysis indicates that trap‐assisted tunneling dominates the stabilized‐state response, whereas ionic redistribution governs pristine‐state reconstruction and the stability boundaries. A compact model is derived for the 5 nm device which reproduces the quasi‐static I–V behavior and the dynamic resistance evolution based on pulse‐width‐dependent characteristics. The verified model is provided as Verilog‐A code enabling simulation in circuit design tools. Our results demonstrate that ultrathin scaling is a regime‐defining design rule for near‐ideal area‐type operation in oxide memristors, implying a fundamental approach to fabricating robust multi‐state memristors for in‐memory computing applications.

Advanced Materials
NaMLab (Germany) (DE), Technische Universität Dresden (DE), RWTH Aachen University (DE), FH Aachen (DE)
Openalex Percentile: Top 23%
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.