Corpus ID: 237571371

Prediction of properties of metal alloy materials based on machine learning

@article{Zuo2021PredictionOP,
  title={Prediction of properties of metal alloy materials based on machine learning},
  author={Houchen Zuo and Yongquan Jiang and Yan Yang and Jie Hu},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.09394}
}
  • Houchen Zuo, Yongquan Jiang, +1 author Jie Hu
  • Published 20 September 2021
  • Computer Science, Physics
  • ArXiv
Density functional theory and its optimization algorithm are the main methods to calculate the properties in the field of materials. Although the calculation results are accurate, it costs a lot of time and money. In order to alleviate this problem, we intend to use machine learning to predict material properties. In this paper, we conduct experiments on atomic volume, atomic energy and atomic formation energy of metal alloys, using the open quantum material database. Through the traditional… Expand

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References

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