ArticleACS energy letters2024
Scalable Microscale Artificial Synapses of Lead Halide Perovskite with Femtojoule Energy Consumption.
Article in ACS energy letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Fiber-shaped aqueous dual-ion batteries integrating rectification and synaptic functions.National science review · 2026Article
- Article
- Low-Power Perovskite-Based Memristors Enable Fused Reservoir Computing and Neuromorphic Vision with Highly Accurate Color Perception.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Excitation Intervals Enhance Performance in Perovskite Solar Cells.ACS applied materials & interfaces · 2025Article
- Hysteresis in Perovskite Devices: Understanding the Abrupt Resistive Switching Mechanism.ACS energy letters · 2025Article
- Intensity-Modulated Photoluminescence Spectroscopy for Revealing Ionic Processes in Halide Perovskites.ACS energy letters · 2025Article
- Challenges and opportunities for the characterization of electronic properties in halide perovskite solar cells.Chemical science · 2025Review
- Modulating Trapping in Low-Dimensional Lead-Tin Halides for Energy-Efficient Neuromorphic Electronics.Advanced materials (Deerfield Beach, Fla.) · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The efficient conduction of mobile ions in halide perovskites is highly promising for artificial synapses (or memristive devices), devices with a conductivity that can be varied by applying a bias voltage. Here we address the challenge of downscaling halide perovskite-based artificial synapses to achieve low energy consumption and allow high-density integration. We fabricate halide perovskite artificial synapses in a back-contacted architecture to achieve microscale devices despite the high solubility of halide perovskites in polar solvents that are commonly used in lithography. The energy consumption of a conductance change of the device is as low as 640 fJ, among the lowest reported for two-terminal halide perovskite artificial synapses so far. Moreover, the high resistance of the device up to hundreds of megaohms, low operating voltage of 100 mV and simple two-terminal architecture enable implementation in highly dense crossbar arrays. These arrays could potentially show orders of magnitude lower energy consumption for computation compared to conventional digital computers.
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Registered trials
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