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Suppression of Tin Oxidation via Sn→B Bonding Interactions for High‐Resolution Lead‐Free Perovskite Neuromorphic Imaging Sensors

Tianhua Liu, Hao Wang, Changzu Sun, Ziquan Yuan, Xu Wang, Lixia Wang, Junfang Wang, Shuyang Wang, Qinglin Zhang, Le Huang, Weitong Wu, Liang Li, Xiangyue Meng

2025Advanced Materials12 citationsDOI

Abstract

Abstract Lead‐free tin‐based perovskites, specifically (4‐Cl‐PEA) 2 SnI 4 , possess significant potential for the development of high‐performance, robust neuromorphic imaging sensors, owing to their superior optoelectronic properties and compatibility with conventional complementary metal‐oxide‐semiconductor fabrication techniques and silicon‐based readout circuits. However, the excessive oxidation of Sn 2+ remains a significant obstacle, leading to suboptimal synaptic performance and low resolution in the neuromorphic imaging sensors due to increased recombination losses and poor film uniformity. This study first demonstrates that the introduction of novel Sn→B donor–acceptor bonding interactions effectively suppresses Sn 2+ oxidation, enhancing uniformity, reducing nonradiative recombination, and improving synaptic plasticity. A vertical optoelectronic synapse demonstrates diverse synaptic behaviors, attributed to hole trapping and detrapping at the device interface. Additionally, the device enables applications in associative learning, neuromorphic computation, letter encoding, and handwritten digit recognition. Ultimately, integration with silicon circuits results in a high‐resolution (32 × 32) neuromorphic imaging array, one of the highest reported resolutions for perovskite optoelectronic synapse arrays. The improved uniformity of boric acid‐added (4‐Cl‐PEA) 2 SnI 4 perovskite films significantly reduces photo response non‐uniformity, enhances resolution, and improves memory capabilities. This neuromorphic imaging array successfully integrates sensing, storage, and computation, enabling advanced functionalities like letter recognition, memory, and processing, surpassing conventional image sensors.

Topics & Concepts

Materials scienceNeuromorphic engineeringPerovskite (structure)TinLead (geology)OptoelectronicsNanotechnologyChemical engineeringMetallurgyComputer scienceEngineeringMachine learningGeomorphologyGeologyArtificial neural networkPerovskite Materials and ApplicationsAdvanced Memory and Neural ComputingConducting polymers and applications