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Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Machine learning-driven inverse design of high-hardness multi-principal element alloys through symbolic regression

  • Peiyi Li
Open at sourcePDFDOICite

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Cite

BibTeXRIS
BibTeX
@article{li2026machine,
  title = {{Machine learning-driven inverse design of high-hardness multi-principal element alloys through symbolic regression}},
  author = {Peiyi Li},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-74491-7},
  url = {https://www.nature.com/articles/s41598-026-74491-7},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Machine learning-driven inverse design of high-hardness multi-principal element alloys through symbolic regression
AU  - Peiyi Li
PY  - 2026
DA  - 2026/10/23
JO  - Scientific Reports
DO  - 10.1038/s41598-026-74491-7
UR  - https://www.nature.com/articles/s41598-026-74491-7
SN  - 2045-2322
ER  -