Vacancy-Driven Twinning in Metal Nanoparticles: From Bulk Morphology Transformation to Optical and Electrochemical Effects

Abstract

Stacking defects in noble metal nanoparticles influence their optical, catalytic, and electrical properties, but the mechanisms behind these changes are in many cases not well understood. While some mechanisms behind the formation of stacking defects have been studied, the possibility to deliberately manipulate nanoparticle bulk morphology remains largely unexplored. Here, we introduce a vacancy-driven twinning mechanism that transforms face-centered cubic (fcc) gold nanoparticles into locally hexagonal close-packed (hcp) structures upon reaching a critical vacancy concentration. Atomistic simulations reveal that this transformation leads to multiply twinned morphologies, including cross-twinning patterns and stable hcp domains spanning 2-6 atomic layers. Experimentally, we validate this mechanism through thermal treatment of Au-Pt alloy nanoparticles, with multidomain X-ray diffraction (MDXRD) confirming controllable ordering and disordering transitions in the bulk structure. Furthermore, we investigate how the nanoparticles bulk morphology influences their optical properties. Using time-dependent density functional theory with Hubbard U corrections (TDDFT+U), we analyze the plasmonic response of models with specific defect motifs demonstrating that structural defects influence the absorption pattern profile. Finally, we discuss how these morphology-induced changes in electronic structure and plasmonic behavior could potentially modulate electrochemical activity in catalytic systems.

Supplementary files

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Article information

Article type
Paper
Submitted
17 Nov 2025
Accepted
31 Dec 2025
First published
08 Jan 2026
This article is Open Access
Creative Commons BY license

Nanoscale, 2026, Accepted Manuscript

Vacancy-Driven Twinning in Metal Nanoparticles: From Bulk Morphology Transformation to Optical and Electrochemical Effects

I. Smirnov, Z. A. Kaszkur, M. Chaudhary, H. Weissker, R. Ferrando and P. Kulesza, Nanoscale, 2026, Accepted Manuscript , DOI: 10.1039/D5NR04865F

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