Combinatorial Screening for Europium Induced Defect Engineering in Titania Anodic Memristors

ABSTRACT A Ti‐Eu thin film combinatorial library with a composition ranging from 3 to 17 at.% Eu is fabricated by co‐sputtering and followed by anodic oxidation. Systematic screening of the electrical behaviour of the resulting anodic memristors revealed forming‐free, analogue switching behaviour, with higher Eu content alloys (7–17 at.% Eu) demonstrating enhanced endurance and multi‐level switching. The best performing alloy composition in terms of memristive behaviour is identified as Ti‐15 at.% Eu, with a high‐to‐low resistance ratio of 10 5 and three levels of intermediate switching. Transmission electron microscopy analysis revealed the resistive switching as being interfacial, based on ion migration intermediated by intrinsically defined nanoscale crystallites. This is further confirmed by current conduction analysis, demonstrating that the conduction is governed by field‐assisted filling and depletion of trap states. The defect engineered, volatile and self‐rectifying anodic memristors show promise in neuromorphic computing for mimicking synaptic functions.

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Publication Details

Journal
Advanced Materials Interfaces
Published
2026-01-09
DOI
https://doi.org/10.1002/admi.202500883
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Combinatorial Screening for Europium Induced Defect Engineering in Titania Anodic Memristors

Andrei Ionut Mardare, Elena Atanasova, Andreas Greul, Achim Walter Hassel et al.
Advanced Materials Interfaces
Advanced Memory and Neural Computing
article

Combinatorial Screening for Europium Induced Defect Engineering in Titania Anodic Memristors

Andrei Ionut Mardare, Elena Atanasova, Andreas Greul, Achim Walter Hassel, N. Scarisoreanu, Ioan Mihail Ghitiu
article en

Abstract

ABSTRACT A Ti‐Eu thin film combinatorial library with a composition ranging from 3 to 17 at.% Eu is fabricated by co‐sputtering and followed by anodic oxidation. Systematic screening of the electrical behaviour of the resulting anodic memristors revealed forming‐free, analogue switching behaviour, with higher Eu content alloys (7–17 at.% Eu) demonstrating enhanced endurance and multi‐level switching. The best performing alloy composition in terms of memristive behaviour is identified as Ti‐15 at.% Eu, with a high‐to‐low resistance ratio of 10 5 and three levels of intermediate switching. Transmission electron microscopy analysis revealed the resistive switching as being interfacial, based on ion migration intermediated by intrinsically defined nanoscale crystallites. This is further confirmed by current conduction analysis, demonstrating that the conduction is governed by field‐assisted filling and depletion of trap states. The defect engineered, volatile and self‐rectifying anodic memristors show promise in neuromorphic computing for mimicking synaptic functions.

Advanced Materials InterfacesVol. 13(3)
Johannes Kepler University of Linz (AT), Danube Private University (AT), Universität für Weiterbildung Krems (AT), National Institute for Laser Plasma and Radiation Physics (RO)
Reduced inequalities
Openalex Percentile: Top 92%
Advanced Memory and Neural Computing
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Combinatorial Screening for Europium Induced Defect Engineering in Titania Anodic Memristors — Andrei Ionut Mardare, Elena Atanasova, et al. · Advanced Materials Interfaces (2026) | TGRS Research Map | TGRS