Oct 2026· ACS Applied Materials and Interfaces· 0 citations· 71 references
Medicine
Abstract
Pb-free double perovskite Cs2CuBiBr6 (CCBB)-based resistive random-access memory (ReRAM) synaptic devices are developed using a dual-interface engineering approach to achieve stable resistive switching and neuromorphic functionality. High-quality CCBB thin films are obtained via optimized antisolvent-assisted crystallization, enabling enhanced crystallinity and reduced defect-induced energetic disorder. Modification of the bottom interface with a poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) interlayer improves CCBB film continuity and provides a more favorable environment for homogeneous charge injection. The introduction of an ultrathin bathocuproine (BCP) interlayer at the top interface regulates the spatial redistribution of Ag-related species. The cooperative regulation of charge injection and Ag-related electro-ionic processes promotes more reproducible formation and rupture of localized conductive pathways, resulting in improved switching stability and device-to-device reproducibility. The CCBB-based ReRAM exhibits reliable bipolar resistive switching over 600 cycles, an on/off current ratio of approximately 103, and stable data retention up to 104 s. Gradual and repeatable conductance modulation under electrical pulse stimulation further demonstrates synaptic potentiation and depression behaviors. MNIST-based neural network simulations reveal excellent neuromorphic performance, with up to 90% recognition accuracy. This work highlights cooperative dual-interface regulation of charge injection and Ag-related electro-ionic processes as an effective design strategy for achieving reliable Pb-free perovskite ReRAM and neuromorphic synaptic operation.
Solution-processed memristors offer a scalable, cost-effective pathway for next-generation computing. The Rb4Ag2BiBr9 (RABB) based resistive random-access memory exhibits stable non-volatile memristive behavior with low operating voltage (∼1.7 V), robust endurance over ∼900 cycles, and extended data retention up to ∼ 5...
Suvankar Poddar, Souvik Bhattacharjee, Pulok Das et al.· Small· 1 citation
In the process of realizing brain-like information processing based on artificial synapses, the conductive filament (CF) model has become an intensively studied topic. Its significant attraction stems from its ability to emulate the dynamic evolution of synaptic connection strengths in biological systems. However, owin...
Ming Li, Hee-Suk Chan, H. Kim et al.· ACS Applied Materials and In...· 0 citations
Metal halide perovskite memristors present compelling opportunities for next-generation information-processing devices, encompassing nonvolatile memory, neuromorphic computing, and information security. However, several critical bottlenecks, including poor thin-film crystallization, abundant defect states, and inferi...
Cheng-Wei Xue, Ye-Xiong Huang, Zhi Zhou et al.· Journal of Physical Chemistr...· 0 citations
Memristors have emerged as key building blocks of neuromorphic computing architectures due to their ability to integrate data storage and processing. While metal halide perovskites have recently shown significant promise owing to their mixed electronic-ionic conduction and low-cost solution processability, their relian...
E. J. Shaji, Zhi-Yuan Li, Srikanth Doddapaneni et al.· 0 citations
Lead-free halide perovskites, with their optoelectronic properties and environmental compatibility, offer a promising material platform for vision-inspired neuromorphic hardware combining sensing, memory, and computation. We report a multifunctional, lead-free Cs2CuBiBr6 memristive device that combines optical responsi...
M. M. Ganaie, A. Chetia, Kishant Kumar et al.· Nanoscale· 0 citations
Metal halide perovskites (MHPs) are promising candidates for memristive applications owing to their mixed ionic-electronic conductivity, yet their inherent instability and tendency toward abrupt resistive switching remain critical barriers to neuromorphic implementations. Here, we present a nanocomposite strategy in wh...
Pablo F. Betancur, Miriam Mínguez-Avellán, Ismael Fernandez-Guillen et al.· ACS Applied Materials and In...· 0 citations
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