Slice Visualization for Imaging Nanocluster Transformations
Xiao Wei, Haoqi Li, Hao Li, Zewen Zuo, Fengqi Song, Xi Kang, Manzhou Zhu
Abstract
Metal nanoclusters have served as an emerging class of modular nanomaterials. Several efficient strategies have been proposed for transforming cluster precursors into new nanoclusters with customized structures and enhanced performance. However, such nanocluster transformations have still been in a “blind box” state, meaning that the existing intermediates were hard to track with atomic precision. Herein, we present a “slice visualization” approach for in-depth imaging of the nanocluster transformation from Au 1 Ag 24 (SR) 18 to Au 1 Ag 30 (SR) 20 . With this approach, two cluster intermediates, namely, Au 1 Ag 26 (SR) 19 and Au 1 Ag 28 (SR) 20, were monitored with atomic precision. The four nanoclusters constituted a correlated Au 1 Ag 24+2 n ( n = 0, 1, 2, and 3) cluster series with comparable structural features─the same Au 1 Ag 12 icosahedral kernel but evolutionary peripheral motif structures. The mechanism of nanocluster structure growth was mapped in detail─insertion of Ag 2 (SR) 1 or Ag-induced assembly of surface subunits. The presented “slice visualization” approach not only contributes an ideal cluster platform for in-depth investigations of structure–property correlations but also hopefully acts as a powerful means for obtaining clear information on nanocluster structure evolution.