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Other literature type . 2024
Data sources: Datacite
ZENODO
Other literature type . 2024
Data sources: Datacite
ZENODO
Other literature type . 2024
Data sources: Datacite
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Supplementary material for "Molecular dynamics simulation of nanoindentation in Al and Fe"

Authors: Luu, Thien;

Supplementary material for "Molecular dynamics simulation of nanoindentation in Al and Fe"

Abstract

Indentation is one of the most widely used methods to determine the characteristics of metallic materials. Molecular dynamics (MD) simulations are a powerful tool to investigate the material behavior at the atomistic scale during nanoindentation and to get insights into the understanding of the plastic deformation of a material. However, the optimal choice of parameters for the simulation is not clear, and there is a large body of literature with strongly different simulation configurations. In this study, we systematically investigate the effect of the choice of interaction potentials, substrate size, indenter size and indentation velocity on hardness and defect generation during nanoindentation of face-centered cubic and body-centered cubic materials. As prototypical materials we consider aluminum and iron single crystals. Our sensitivity analysis reveals that the thickness of the substrate has a large influence on the measured hardness by MD simulations, while the impact of the indentation velocity is small. The results are useful for researchers planning to use MD to study the nanoindentation process using highly expensive potentials such as ReaxFF and COMB3 or small indenter velocities. This article aims to provide a guideline for designing nanoindentation simulations using MD.

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Keywords

MD simulations, Hardness, Iron, Nanoindentation, Aluminum

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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