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Dual-Mode Photonic Synapse Based on a Lead-Free 2D Ruddlesden–Popper Perovskite for Neuromorphic Vision

Cheng‐Yueh Chen, Hao‐Cheng Lin, Hao‐Cheng Lin, Pei‐En Jan, Hung-Ming Chen, Yung‐Tang Chuang, Chia-Feng Li, Yu‐Ching Huang, Hao‐Wu Lin, Hao‐Wu Lin

2025ACS Applied Materials & Interfaces6 citationsDOIOpen Access PDF

Abstract

High Resolution Image Download MS PowerPoint Slide Inspired by the human visual system, photonic synapses with photonic sensing and data memorization offer a promising alternative to traditional von Neumann architectures for neuromorphic computing. This study introduces a multifunctional artificial photonic synapse based on solution-processed PEA 2 SnI 4 2D Ruddlesden–Popper perovskite. By modulation of the applied bias voltage, the PEA 2 SnI 4 device can switch between two distinct optoelectronic modes. In the absence of bias, the device operates in the photodetector mode, demonstrating a responsivity of 42.4 mA W –1 . The low dark current of the device allows for a high detectivity of 3.6 × 10 14 Jones and a broad linear dynamic range of 140 dB. Under reverse bias, the device transitions into a synaptic mode, enabling the observation of several synaptic behaviors, including paired-pulse facilitation, long-term potentiation, spike-frequency-dependent plasticity, and spike-number-dependent plasticity. The synaptic behavior is attributed to band alignment and carrier accumulation in the interfacial layer. Moreover, the synaptic performance of the PEA 2 SnI 4 device is further illustrated through simulations of image contrast enhancement and edge detection. This work reveals the potential of PEA 2 SnI 4 -based photonic synapses for next-generation neuromorphic vision systems, offering an energy-efficient and highly adaptable approach to optoelectronic computing applications.

Topics & Concepts

Neuromorphic engineeringMaterials sciencePerovskite (structure)PhotonicsDual (grammatical number)SynapseDual modeLead (geology)OptoelectronicsNanotechnologyArtificial intelligenceElectronic engineeringComputer scienceArtificial neural networkNeuroscienceChemical engineeringPsychologyEngineeringGeomorphologyGeologyLiteratureArtAdvanced Memory and Neural ComputingPhotoreceptor and optogenetics researchNeural Networks and Reservoir Computing
Dual-Mode Photonic Synapse Based on a Lead-Free 2D Ruddlesden–Popper Perovskite for Neuromorphic Vision | Litcius