Tang Chengying

affiliation not provided to SSRN

No Address Available

SCHOLARLY PAPERS

1

DOWNLOADS

62

TOTAL CITATIONS

0

Scholarly Papers (1)

1.

Machine Learning-Assisted Design and Synthesis with Excellent Performance of Fe-Based Amorphous/Nanocrystalline Soft Magnetic Materials

Number of pages: 34 Posted: 24 Oct 2023
Jingqian Huang and Tang Chengying
Guilin University of Electronic Technology and affiliation not provided to SSRN
Downloads 62 (763,008)

Abstract:

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Machine learning, XGBoost, Amorphous/nanocrystalline alloys, Soft magnetic properties