journal article·2021-09-01

Quasi-2D Halide Perovskite Memory Device Formed by Acid–Base Binary Ligand Solution Composed of Oleylamine and Oleic Acid

Hyeon Jun Jeong, Chulho Park, Hobeom Jeon, Kang-Nyeoung Lee, Juchan Lee, Seong Chu Lim, Gon Namkoong, Mun Seok Jeong

ACS Applied Materials & Interfaces· Volume 13· Issue 34
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Abstract

Organometal halide perovskite materials are receiving significant attention for the fabrication of resistive-switching memory devices based on their high stability, low power consumption, rapid switching, and high ON/OFF ratios. In this study, we synthesized 3D FAPbBr3 and quasi-2D (RNH3)2(FA)1Pb2Br7 films using an acid–base binary ligand solution composed of oleylamine (OlAm) and oleic acid in toluene. The quasi-2D (RNH3)2(FA)1Pb2Br7 films were synthesized by controlling the protonated OlAm (RNH3+) solution concentration to replace FA+ cations with large organic RNH3+ cations from 3D FAPbBr3 perovskites. The quasi-2D (RNH3)2(FA)1Pb2Br7 devices exhibited nonvolatile write-once read-many (WORM) memory characteristics, whereas the 3D FAPbBr3 only exhibited hysteresis behavior. Analysis of the 3D FAPbBr3 device indicated operation in the trap-limited space-charge-limited current region. In contrast, quasi-2D (RNH3)2(FA)1Pb2Br7 devices provide low trap density that is completely filled by injected charge carriers and then subsequently form conductive filaments (CFs) to operate as WORM devices. Nanoscale morphology analysis and an associated current mapping study based on conductive atomic force microscopy measurements revealed that perovskite grain boundaries serve as major channels for high current, which may be correlated with the conductive low-resistive-switching behavior and formation of CFs in WORM devices.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Perovskite Materials and Applications · Conducting polymers and applications · Advanced Memory and Neural Computing

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Energy Science, Sungkyunkwan University, Suwon 16419, Republic of Korea

Department of Electrical and Computer Engineering, Old Dominion University, Applied Research Centre, 12050 Jefferson Avenue, Newport News, Virginia 23606, United States

Department of Physics and Department of Energy Engineering, Hanyang University, Seoul 04763, Republic of Korea

Funding

Virginia Microelectronics Consortium · Division of Undergraduate Education · Division of Human Resource Development · National Research Foundation of Korea · Air Force Office of Scientific Research

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