- Published
- 2023-03-25
- Venue
- npj Computational Materials, vol. 9, no. 1
- Cited by
- 879
- Open access
- Yes, gold
- DOI
- 10.1038/s41524-023-01000-z
Abstract
This review discussed the dilemma of small data faced by materials machine learning. First, we analyzed the limitations brought by small data. Then, the workflow of materials machine learning has been introduced. Next, the methods of dealing with small data were introduced, including data extraction from publications, materials database construction, high-throughput computations and experiments from the data source level; modeling algorithms for small data and imbalanced learning from the algorithm level; active learning and transfer learning from the machine learning strategy level. Finally, the future directions for small data machine learning in materials science were proposed.
Cite this paper
Formatted from the source metadata, not typed by hand. For a whole reference list, use the citation generator or ask your assistant through Find Research.
- APA 7
Xu, P., Ji, X., Li, M., & Lu, W. (2023). Small data machine learning in materials science. npj Computational Materials, 9(1). https://doi.org/10.1038/s41524-023-01000-z
- MLA 9
Xu, Pengcheng, et al. "Small data machine learning in materials science." npj Computational Materials, vol. 9, no. 1, 2023, https://doi.org/10.1038/s41524-023-01000-z.
- Chicago
Xu, Pengcheng, Xiaobo Ji, Minjie Li, and Wencong Lu. "Small data machine learning in materials science." npj Computational Materials 9, no. 1 (2023). https://doi.org/10.1038/s41524-023-01000-z.
- GOST
Xu P., Ji X., Li M. [и др.] Small data machine learning in materials science // npj Computational Materials. — 2023. — Vol. 9, № 1. — URL: https://doi.org/10.1038/s41524-023-01000-z
- BibTeX
@article{xu2023small, title = {{Small data machine learning in materials science}}, author = {Pengcheng Xu and Xiaobo Ji and Minjie Li and Wencong Lu}, journal = {npj Computational Materials}, year = {2023}, volume = {9}, number = {1}, doi = {10.1038/s41524-023-01000-z}, url = {https://doi.org/10.1038/s41524-023-01000-z} }- RIS
TY - JOUR AU - Xu, Pengcheng AU - Ji, Xiaobo AU - Li, Minjie AU - Lu, Wencong TI - Small data machine learning in materials science JO - npj Computational Materials VL - 9 IS - 1 PY - 2023 DA - 2023/03/25 DO - 10.1038/s41524-023-01000-z UR - https://doi.org/10.1038/s41524-023-01000-z ER -