Incorporating MXene in Perovskite for Modulating Ion Migration and Enhancing Object Detection

Abstract Perovskite memristors hold promise for next‐generation computing devices due to their potential for in‐memory computing. However, they face challenges in practical applications owing to high power consumption, limited resistance tunability, and complex conduction mechanisms primarily caused by the uncontrollable ion migrations. In this study, Ti 3 C 2 T x MXene nanosheets are incorporated into the methylammonium lead iodide (MAPbI 3 ) based memristor to modulate the migration behaviors of iodine (I − ) and silver (Ag + ) ions. Ti 3 C 2 T x can decrease the Ag + ions migration barrier from 0.45 to 0.31 eV, which is induced by the closer lattice distance and lower charge transfer barrier thanks to the bridging effect between Pb 2+ and the surface functional groups of MXene. Thus, lower operating voltages can be achieved. On the other hand, MXene can also serve as a “reservoir” for the accumulation of I − ions, leading to gradual ion migration and stable multiple resistive states under repeated voltage stimulations. Herein, Ag + and I − ions migration processes are considered to dominate the digital and analog switching behaviors of the device, respectively, enabling the applications in both data storage and neuromorphic computing with long retention time (>10 5 s), high device uniformity, multiple distinguishable resistance states (21 states), and high object detection accuracy (98.9%).

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-04-29
DOI
https://doi.org/10.1002/adfm.202501877
Citations
8
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
5.84

Funders

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

Incorporating MXene in Perovskite for Modulating Ion Migration and Enhancing Object Detection

Su‐Ting Han, Yongbiao Zhai, Vellaisamy A. L. Roy, Guanglong Ding et al.
8 citations
Advanced Functional Materials
Advanced Memory and Neural Computing
5.84
article

Incorporating MXene in Perovskite for Modulating Ion Migration and Enhancing Object Detection

Su‐Ting Han, Yongbiao Zhai, Vellaisamy A. L. Roy, Guanglong Ding, Ziyu Lv, Ruosi Chen, Jituo Li, Yu‐Wei Su, Hang Li, Ye Bo Zhou, Haitao Zhou, Xinqi Ma, Jiyu Zhao, Zherui Zhao, Wenbiao Niu
article en
8 citations

Abstract

Abstract Perovskite memristors hold promise for next‐generation computing devices due to their potential for in‐memory computing. However, they face challenges in practical applications owing to high power consumption, limited resistance tunability, and complex conduction mechanisms primarily caused by the uncontrollable ion migrations. In this study, Ti 3 C 2 T x MXene nanosheets are incorporated into the methylammonium lead iodide (MAPbI 3 ) based memristor to modulate the migration behaviors of iodine (I − ) and silver (Ag + ) ions. Ti 3 C 2 T x can decrease the Ag + ions migration barrier from 0.45 to 0.31 eV, which is induced by the closer lattice distance and lower charge transfer barrier thanks to the bridging effect between Pb 2+ and the surface functional groups of MXene. Thus, lower operating voltages can be achieved. On the other hand, MXene can also serve as a “reservoir” for the accumulation of I − ions, leading to gradual ion migration and stable multiple resistive states under repeated voltage stimulations. Herein, Ag + and I − ions migration processes are considered to dominate the digital and analog switching behaviors of the device, respectively, enabling the applications in both data storage and neuromorphic computing with long retention time (>10 5 s), high device uniformity, multiple distinguishable resistance states (21 states), and high object detection accuracy (98.9%).

Advanced Functional MaterialsVol. 35(40)
Australian National University (AU), Hong Kong Polytechnic University (HK), Shenzhen University (CN), Dalian University of Technology (CN), Dalian University (CN)
National Natural Science Foundation of China, Shenzhen University, Science, Technology and Innovation Commission of Shenzhen Municipality, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 4%
Advanced Memory and Neural Computing
5.84
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.