Molecular Dynamics Analysis of the Solid-State Bonding Mechanism and High Strain Rate Response for (1 1 1)-Oriented Nanotwinned Silver
This study employs molecular dynamics simulations to investigate the bonding mechanism and high strain rate response of (1 1 1)-oriented nanotwinned silver (NT-Ag). By constructing one idealized model with atomic-level flatness and one more realistic model considered surface roughness, it uncovers the atomic-level bonding process, revealing that the realistic model proposed more closely replicates real experimental characteristics, thereby demonstrating strong validity. High strain rate tensile tests show NT-Ag possessing a great impact resistance, with toughening mechanisms such as strain-induced amorphization. The study recommends using moderate bonding temperatures (393-593 K) and optimal interference values (around 2-3 nm) to enhance material performance, confirming the potential of NT-Ag for applications in high-strength, extreme environments. These findings provide theoretical guidance for optimizing bonding conditions to improve NT-Ag's durability and toughness in demanding applications.
Authors
- Yongjun Huo (ORCID: https://orcid.org/0000-0001-6367-0501)
- Shuang Zhao (ORCID: https://orcid.org/0000-0003-2773-180X)
- Xiuchen Zhao
- Sujun Shi
- Sichen Liu (ORCID: https://orcid.org/0009-0005-2118-2637)
- Hong Li (ORCID: https://orcid.org/0000-0002-8659-086X)
- Gang Zhang (ORCID: https://orcid.org/0000-0001-9812-8106)
- Donglin Zhang (ORCID: https://orcid.org/0000-0002-3942-8878)
- Taiyu Wang (ORCID: https://orcid.org/0000-0002-7858-9113)
- Liang Chen (ORCID: https://orcid.org/0009-0005-2899-8997)
Institutions
- Beijing Institute of Technology (CN)
- Shenzhen Technology University (CN)
- Shenzhen MSU-BIT University
Publication Details
- Journal
- ACS Applied Materials & Interfaces
- Published
- 2025-04-02
- DOI
- https://doi.org/10.1021/acsami.5c00590
- Citations
- 6
- Primary Topic
- Boron and Carbon Nanomaterials Research
- Type
- article
- Field-Weighted Citation Impact
- 3.11
Funders
- National Natural Science Foundation of China
- Beijing Nova Program