Artificial synapse using flexible and air-stable Cs<sub>3</sub>Bi<sub>2</sub>I<sub>9</sub> perovskite memristors

Abstract Von Neumann bottleneck necessitates the creation of dedicated processors for neuromorphic artificial intelligence tasks such as in-memory computing, where memristors are formulated as synapses. Perovskites are great candidates for memristors owing to their mixed ionic–electronic conduction and their compatibility with cost-effective processing techniques. In this work, we have fabricated a highly stable, lead-free, and flexible perovskite memristors by e-beam evaporation of hot-pressed zero-dimensional (0D) Cs 3 Bi 2 I 9 pellets. These memristors exhibit reproducible bipolar resistive switching with low operating voltages of −0.18 V and 0.26 V, an excellent ON/OFF ratio (&gt;10 5 ), and high endurance (&gt;10 4 cycles). They were air-stable for more than 30d and were repeatedly tested under high humidity (&gt;80%) atmospheric conditions without encapsulation. The resistive switching in these devices persists even under applied mechanical stress up to a bending radius of 5 mm. A 4 × 4 crossbar array of these Cs 3 Bi 2 I 9 memristors has been fabricated, which gave a device yield of 81%. Furthermore, their potential for use as artificial synapses has been demonstrated by obtaining critical neuromorphic characteristics such as spike duration dependent plasticity, paired pulse facilitation, and long-term plasticity. This work also shows that 0D Cs 3 Bi 2 I 9 memristors have the potential to mimic biological synaptic functions of learning and forgetting, which may be useful in realizing flexible and low-power neuromorphic circuits in the near future.

Authors

Institutions

Publication Details

Journal
Flexible and Printed Electronics
Published
2025-01-22
DOI
https://doi.org/10.1088/2058-8585/adacf9
Citations
3
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
2.19

Funders

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

Artificial synapse using flexible and air-stable Cs3Bi2I9 perovskite memristors

Arun Tej Mallajosyula, Roy P. Paily, Himangshu Jyoti Gogoi, Radharani Yumlembam
3 citations
Flexible and Printed Electronics
Perovskite Materials and Applications
2.19
article

Artificial synapse using flexible and air-stable Cs3Bi2I9 perovskite memristors

Arun Tej Mallajosyula, Roy P. Paily, Himangshu Jyoti Gogoi, Radharani Yumlembam
article en
3 citations

Abstract

Abstract Von Neumann bottleneck necessitates the creation of dedicated processors for neuromorphic artificial intelligence tasks such as in-memory computing, where memristors are formulated as synapses. Perovskites are great candidates for memristors owing to their mixed ionic–electronic conduction and their compatibility with cost-effective processing techniques. In this work, we have fabricated a highly stable, lead-free, and flexible perovskite memristors by e-beam evaporation of hot-pressed zero-dimensional (0D) Cs 3 Bi 2 I 9 pellets. These memristors exhibit reproducible bipolar resistive switching with low operating voltages of −0.18 V and 0.26 V, an excellent ON/OFF ratio (&gt;10 5 ), and high endurance (&gt;10 4 cycles). They were air-stable for more than 30d and were repeatedly tested under high humidity (&gt;80%) atmospheric conditions without encapsulation. The resistive switching in these devices persists even under applied mechanical stress up to a bending radius of 5 mm. A 4 × 4 crossbar array of these Cs 3 Bi 2 I 9 memristors has been fabricated, which gave a device yield of 81%. Furthermore, their potential for use as artificial synapses has been demonstrated by obtaining critical neuromorphic characteristics such as spike duration dependent plasticity, paired pulse facilitation, and long-term plasticity. This work also shows that 0D Cs 3 Bi 2 I 9 memristors have the potential to mimic biological synaptic functions of learning and forgetting, which may be useful in realizing flexible and low-power neuromorphic circuits in the near future.

Flexible and Printed ElectronicsVol. 10(1)
Indian Institute of Technology Guwahati (IN), Indian Institute of Information Technology Guwahati (IN)
Department of Science and Technology, Ministry of Science and Technology, India, Ministry of Education, India, Ministry of Electronics and Information technology
Openalex Percentile: Top 14%
Perovskite Materials and Applications
2.19
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.