Synaptic Behavior of Iodine‐Enriched Copper‐Based Perovskite Memristors Developed Through a Sustainable Solution Approach
Source abstract
Abstract
Abstract The advancement of digital technology has spurred the proliferation of data, creating a pressing need for efficient storage solutions. In this regard, memristors have emerged as promising contenders as next‐generation non‐volatile memory, offering superior electrical capabilities. Among memristor materials, lead halide perovskites have garnered significant interest due to their tuneable properties, facile synthesis methods, and remarkable resistive switching (RS) performance. However, concerns over environmental toxicity and stability remain. This issue has been addressed by switching to copper (Cu) based perovskites that exhibit wide bandgap semiconducting properties with zero toxicity and long‐term stability. In this manuscript, a novel approach is investigated to achieve iodine‐enriched Cs–Cu–I perovskite thin films for memristor applications. Through strategic functionalization of synthesis processes, superior optoelectronic properties are achieved in the thin films. This modified Cs–Cu–I based memristor (CCI device) exhibits excellent RS behavior at a low operating voltage of 0.7 V, with a long retention period of 4 × 103 s and very low power consumption of 2 × 10−9 W. The experimental realization of the synaptic behavior from the modified CCI device is demonstrated through its spike‐rate‐dependent plasticity (SRDP) behavior. The device response to short‐ and long‐term pulses experimentally verifies the Atkinson and Shiffrin psychological model for training the human brain. This work not only highlights the potential of the modified CCI devices for RRAM but also paves the way for improved lead‐free perovskite‐based neuromorphic devices for biological applications.
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Research context
OpenAlex topics: Perovskite Materials and Applications · Advanced Memory and Neural Computing · Conducting polymers and applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Advanced Materials Science & Engineering Sungkyunkwan University Suwon 16419 South Korea
Department of Energy and Chemical Engineering Ulsan National Institute of Science and Technology (UNIST) Ulsan 44919 South Korea
Department of Physics and Astronomy Sejong University Seoul 05006 South Korea
SKKU Advanced Institute of Nanotechnology (SAINT) Sungkyunkwan University (SKKU) Suwon 16419 South Korea
Funding
National Research Foundation of Korea · Kementerian Pendidikan
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