2023
DOI: 10.1016/j.molliq.2022.121163
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Molecular dynamics simulations of glass formation, structural evolution and diffusivity of the Pd-Si alloys during the rapid solidification process

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Cited by 6 publications
(2 citation statements)
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“…When the Fe content was 1%, 3%, 5%, and 10%, corresponding to temperature ranges of 2000 K-894 K, 2000 K-887 K, 2000 K-887 K, and 2000 K-994 K, respectively, the first peak in the radial distribution function exhibited a distinct non-spiky pattern with clearly resolved symmetric peaks. These characteristics are indicative of the system being in a liquid state within these temperature intervals [30]. Upon further analysis, it was evident that this conclusion aligns closely with other physical properties and demonstrates high experimental reliability.…”
Section: Radial Distribution Function Analysissupporting
confidence: 67%
“…When the Fe content was 1%, 3%, 5%, and 10%, corresponding to temperature ranges of 2000 K-894 K, 2000 K-887 K, 2000 K-887 K, and 2000 K-994 K, respectively, the first peak in the radial distribution function exhibited a distinct non-spiky pattern with clearly resolved symmetric peaks. These characteristics are indicative of the system being in a liquid state within these temperature intervals [30]. Upon further analysis, it was evident that this conclusion aligns closely with other physical properties and demonstrates high experimental reliability.…”
Section: Radial Distribution Function Analysissupporting
confidence: 67%
“…The real-time computation performance of the model supports its in-process use as an RSP observer, e.g., for the feedback control of a UDS system to insure the desirable deposited alloy structure during additive manufacturing processes. Since real-time microstructure analysis of materials by non-destructive and non-invasive methods is technically impractical, the model can be run as an RSP observer in parallel to the actual UDS process, in order to provide real-time estimates of structural features, such as domain size and fractal dimension, as surrogate feedback to the closedloop controller during 3D printing [28][29][30][31][32]. An adaptation scheme can also be designed to improve the simulation fidelity to the RSP process by the real-time identification and adjustment of its calibration parameters.…”
Section: Results Discussion and Conclusionmentioning
confidence: 99%