Abstract
Organometal halide perovskites have emerged as potential material systems for resistive memory devices besides their outstanding optical and electrical properties. Although halide-perovskite resistive memory has the advantage of operating with a low voltage and large on/off ratio, random distribution in operation voltage remains a challenge in memory application. This stochastic operation characteristic is due to the random formation of conducting filaments that cause resistance fluctuations in the material. Therefore, it is essential to investigate the formation and dissolution of conducting filaments and their structure. However, direct observation of a nanoscale filamentary structure is often challenging. Moreover, detailed studies of conducting filaments in halide-perovskite materials have rarely been reported. By employing a scaling theory with a fractal structure, this study investigates the geometric structures and dynamics of conducting filaments formed in organometal halide perovskite through current noise analysis. The temperature-dependent electrical properties and current noise demonstrate the role of ion migration in the formation of conducting filaments. The findings could enhance the understanding of the resistive switching phenomena of perovskite resistive memory devices in terms of percolative conducting filaments. Thus, providing a route for achieving a stable memory operation by controlling the relevant structure and dynamics of the switching processes.
Original language | English |
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Article number | 2107727 |
Journal | Advanced Functional Materials |
Volume | 32 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2022 Jan 19 |
Bibliographical note
Funding Information:H.A. and K.K. contributed equally to this work. The authors appreciate the financial support by the National Research Foundation of Korea (NRF) grant (No. 2021R1A2C3004783) and the Nano Material Technology Development Program grant (No. 2021M3H4A1A02049651) through NRF funded by the Ministry of Science and ICT of Korea, and the industry‐university cooperation program by the Samsung Electronics Co., Ltd. (IO201211‐08047‐01). K.K. appreciates the support by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MIST) (NRF‐2021R1C1C1010266). The authors acknowledge the Korea Institute for Advanced Study for providing computing resources (KIAS Center for Advanced Computation Linux Cluster System). J.S.L. appreciates the support by the KIAS individual Grants No. PG064901.
Funding Information:
H.A. and K.K. contributed equally to this work. The authors appreciate the financial support by the National Research Foundation of Korea (NRF) grant (No. 2021R1A2C3004783) and the Nano Material Technology Development Program grant (No. 2021M3H4A1A02049651) through NRF funded by the Ministry of Science and ICT of Korea, and the industry-university cooperation program by the Samsung Electronics Co., Ltd. (IO201211-08047-01). K.K. appreciates the support by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MIST) (NRF-2021R1C1C1010266). The authors acknowledge the Korea Institute for Advanced Study for providing computing resources (KIAS Center for Advanced Computation Linux Cluster System). J.S.L. appreciates the support by the KIAS individual Grants No. PG064901.
Publisher Copyright:
© 2021 Wiley-VCH GmbH
All Science Journal Classification (ASJC) codes
- Chemistry(all)
- Materials Science(all)
- Condensed Matter Physics