Structural transformations in Cu, Ag, and Au metal nanoclusters

Author:

Settem Manoj1ORCID,Roncaglia Cesare2,Ferrando Riccardo3ORCID,Giacomello Alberto1ORCID

Affiliation:

1. Dipartimento di Ingegneria Meccanica e Aerospaziale, Sapienza Università di Roma 1 , via Eudossiana 18, 00184 Roma, Italy

2. Dipartimento di Fisica dell’Università di Genova 2 , via Dodecaneso 33, 16146 Genova, Italy

3. Dipartimento di Fisica dell’Università di Genova and CNR-IMEM 3 , via Dodecaneso 33, 16146 Genova, Italy

Abstract

Finite-temperature structures of Cu, Ag, and Au metal nanoclusters are calculated in the entire temperature range from 0 K to melting using a computational methodology that we proposed recently [M. Settem et al., Nanoscale 14, 939 (2022)]. In this method, Harmonic Superposition Approximation (HSA) and Parallel Tempering Molecular Dynamics (PTMD) are combined in a complementary manner. HSA is accurate at low temperatures and fails at higher temperatures. PTMD, on the other hand, effectively samples the high temperature region and melts. This method is used to study the size- and system-dependent competition between various structural motifs of Cu, Ag, and Au nanoclusters in the size range 1–2 nm. Results show that there are mainly three types of structural changes in metal nanoclusters, depending on whether a solid–solid transformation occurs. In the first type, the global minimum is the dominant motif in the entire temperature range. In contrast, when a solid–solid transformation occurs, the global minimum transforms either completely to a different motif or partially, resulting in the co-existence of multiple motifs. Finally, nanocluster structures are analyzed to highlight the system-specific differences across the three metals.

Funder

Ministero dell’Istruzione, dell'Università e della Ricerca

Publisher

AIP Publishing

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Pd8 Cluster: Too Small to Melt? A BOMD Study;The Journal of Physical Chemistry A;2024-01-11

2. Charting Nanocluster Structures via Convolutional Neural Networks;ACS Nano;2023-10-19

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