Modulating Trapping in Low‐Dimensional Lead–Tin Halides for Energy‐Efficient Neuromorphic Electronics
Abstract
AbstractMetal halide perovskites have drawn great attention for neuromorphic electronic devices in recent years, however, the toxicity of lead as well as the variability and energy consumption of operational devices still pose great challenges for further consideration of this material in neuromorphic computing applications. Here, a 2D Ruddlesden‐Popper (RP) metal halides system of formulation BA2Pb0.5Sn0.5I4 (BA = n‐butylammonium) is prepared that exhibits outstanding resistive switching memory performance after cesium carbonate (Cs2CO3) deposition. In particular, the device exhibits excellent switching characteristics (endurance of 5 × 105 cycles, ON/OFF ratio ≈105) and achieves 90.1% accuracy on the MNIST dataset. More importantly, a novel energy‐efficient content addressable memory (CAM) architecture building on perovskite memristive devices for neuromorphic applications, called nCAM, is proposed, which has a minimum energy consumption of ≈0.025 fJ bit/cell. A mechanism involving the manipulation of trapping states through Cs2CO3 deposition is proposed to explain the resistive switching behavior of the memristive device.
Article Details
Authors (10)
Lijun Chen
Saad Saleh
Bernoulli Institute University of Groningen Nijenborgh 9 Groningen 9747 AG The Netherlands
Filippo Tavormina
Zernike Institute for Advanced Materials University of Groningen Nijenborgh 4 Groningen 9747 AG The Netherlands
Lorenzo Di Mario
Zernike Institute for Advanced Materials University of Groningen Nijenborgh 4 Groningen 9747 AG The Netherlands
Jiaxiong Li
Photophysics and OptoElectronics Zernike Institute for Advanced Materials University of Groningen Groningen The Netherlands
Zhiqiang Xie
Norberto Masciocchi
Dipartimento di Scienza e Alta Tecnologia and To.Sca.Lab Università dell'Insubria via Valleggio 11 Como I‐22100 Italy
Christoph J. Brabec
Institute of Energy Materials and Devices - Photovoltaics (IMD-3)
Boris Koldehofe
CogniGron (Groningen Cognitive Systems and Materials Center) University of Groningen Nijenborgh 4 Groningen 9747 AG The Netherlands
Maria Antonietta Loi