Atomically Precise Ag₁₁ and Ag₁₂ Nanocluster-Assembled 2D Materials for Memristive and Neuromorphic Functionality.

Authors

Noohul Alam, Towhidur Rahaman, Céline Besnard, Arnulf Rosspeintner, Latevi Max Lawson Daku, Saood Khan, Soumya Jyoti Ray, Thomas Bürgi

Published in

Advanced materials (Deerfield Beach, Fla.). Pages e74781. Aug 26, 2026. Epub Aug 26, 2026.

Abstract

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 Ag₁₂ (2D Ag₁₂-CAM) and Ag₁₁ (2D Ag₁₁-CAM) nanocluster building blocks. The change in cluster nuclearity arises solely from ligand tuning; benzenethiol yields the Ag₁₂-based framework, whereas 3,5-bis(trifluoromethyl)benzenethiol (BTFMBT) directs formation of the Ag₁₁ analogue. Lateral memristive devices fabricated from these materials (D-1: 2D Ag₁₂-CAM; D-2: 2D Ag₁₁-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 Ag₁₁-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 Ag₁₁-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%).

PMID:
42643093
Bibliographic data and abstract were imported from PubMed on 26 Aug 2026.

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