Data quantity governance for machine learning in materials science

Yue Liu, Zhengwei Yang, Xinxin Zou, Shuchang Ma, Dahui Liu, Maxim Avdeev, Siqi Shi

Open source

DOI: 10.1093/nsr/nwad125
Published: 2023-05-01
Container: National Science Review
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/nsr/nwad125,
  title = {Data quantity governance for machine learning in materials science},
  author = {Yue Liu and Zhengwei Yang and Xinxin Zou and Shuchang Ma and Dahui Liu and Maxim Avdeev and Siqi Shi},
  year = {2023},
  journal = {National Science Review},
  doi = {10.1093/nsr/nwad125},
  url = {https://doi.org/10.1093/nsr/nwad125}
}

RIS

TY  - JOUR
TI  - Data quantity governance for machine learning in materials science
AU  - Yue Liu
AU  - Zhengwei Yang
AU  - Xinxin Zou
AU  - Shuchang Ma
AU  - Dahui Liu
AU  - Maxim Avdeev
AU  - Siqi Shi
PY  - 2023
JO  - National Science Review
DO  - 10.1093/nsr/nwad125
UR  - https://doi.org/10.1093/nsr/nwad125
ER  -

APA

Liu, Y., Yang, Z., Zou, X., Ma, S., Liu, D., Avdeev, M., & Shi, S. (2023). Data quantity governance for machine learning in materials science. National Science Review. https://doi.org/10.1093/nsr/nwad125

Source records

crossref · retrieved 2026-09-26T04:21:55.680Z