Experimental study demonstrates memristive and synaptic switching in silver nanocluster frameworks, suggesting viable nanoscale building blocks for brain-inspired computing.
Designing two‐dimensional (2D) materials from atomically precise nanocluster building blocks is a challenging task, yet crucial for next‐generation electronic devices. By tuning cluster nuclearity and ligand environment, well‐defined assemblies can be designed, enabling control over optoelectronic properties at the atomic level. Herein, we report the bottom‐up synthesis of two structurally distinct 2D nanocluster‐assembled materials constructed from Ag 12 (2D Ag 12 ‐CAM) and Ag 11 (2D Ag 11 ‐CAM) nanocluster building blocks. The change in cluster nuclearity arises solely from ligand tuning; benzenethiol yields the Ag 12 ‐based framework, whereas 3,5‐bis(trifluoromethyl)benzenethiol (BTFMBT) directs formation of the Ag 11 analogue. Lateral memristive devices fabricated from these materials (D‐1: 2D Ag 12 ‐CAM; D‐2: 2D Ag 11 ‐CAM) exhibit coexistence of negative differential resistance (NDR) and robust resistive switching with endurance stable over 4000 switching cycles. Device D‐2, based on 2D Ag 11 ‐CAM, shows a markedly enhanced on‐off ( I on / I off ) ratio (∼ 642) compared to device D‐1 (∼ 200), and more pronounced NDR. Furthermore, the 2D Ag 11 ‐CAM (D‐2)‐based device was evaluated for neuromorphic functionality, mimicking the adaptive behavior of biological synapses. It exhibits analogue potentiation and depression under pulse stimulation, while experimentally extracted synaptic weight updates enable an artificial neural network to achieve a test accuracy of 84.2%, approaching that of a machine learning (ML)‐trained network (93.2%).
No takes yet. Share an insight, caveat, or question.
Alam et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: