Multi-functional Synaptic Memristor for Neuromorphic Pattern Recognition and Image Compression

Materials Today Physics, Journal Year: 2025, Volume and Issue: unknown, P. 101684 - 101684

Published: Feb. 1, 2025

Language: Английский

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MoS2-based Quantum Dot Artificial Synapses for Neuromorphic Computing

Materials Today Physics, Journal Year: 2025, Volume and Issue: unknown, P. 101703 - 101703

Published: March 1, 2025

Language: Английский

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Van der Waals Antiferroelectric CuCrP₂S₆‐Based Artificial Synapse for High‐Precision Neuromorphic Computation

Small, Journal Year: 2025, Volume and Issue: unknown

Published: May 12, 2025

Abstract 2D van der Waals heterostructure‐based artificial synapses have emerged as a compelling platform for next‐generation neuromorphic systems, owing to their tunable electrical conductivity and layer‐engineered functionality through controlled stacking of materials. In this work, an engineered SnS₂/h‐BN/CuCrP₂S₆ antiferroelectric field‐effect transistor (AFe‐FET) is presented that implements synaptic weight modulation the synergistic interplay charge trapping dynamics electric‐field‐controlled ferroelectric polarization switching. The AFe‐FET architecture successfully emulates essential neuroplasticity features, including paired‐pulse facilitation, short‐term plasticity, long‐term plasticity. device exhibits exceptional potentiation (LTP) depression (LTD), with ultralow nonlinearity coefficient 1.1 both LTP LTD operations, high symmetricity (30), broad dynamic range (G max /G min = 10). AFe‐FET‐based system demonstrates outstanding computational efficacy, i.e. classification accuracy 97.7% on MNIST benchmark. Furthermore, implementing reservoir computing architectures enables cognitive process emulation, attaining 94.7% task recognition in brain‐inspired decision‐making simulations. This investigation establishes new design paradigms high‐fidelity devices, providing strategy energy‐efficient systems biological plausibility.

Language: Английский

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Neuromorphic Vision Array Based on Full-Spectrum Perovskite Materials for Object Detection in Complex Environments

Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 110901 - 110901

Published: March 1, 2025

Language: Английский

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