Interpretable and uncertainty-informed machine learning to accelerate the design and discovery of lead-free piezoceramics with large piezoelectric constant
Interpretable and uncertainty-aware machine learning framework for the design and discovery of high-performance lead-free piezoceramics.
Authors
- Kang Yan (ORCID: https://orcid.org/0000-0003-2316-3075)
- Dawei Wu (ORCID: https://orcid.org/0000-0002-4105-3614)
- Tao Tan (ORCID: https://orcid.org/0000-0001-5924-4112)
- Didi Zhang
- Heng Hu
- Bin Wang (ORCID: https://orcid.org/0000-0003-0197-1063)
Institutions
- Macao Polytechnic University (MO)
- Nanjing University of Aeronautics and Astronautics (CN)
Publication Details
- Journal
- Journal of Materials Chemistry C
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5tc00865d
- Citations
- 4
- Primary Topic
- Ultrasonics and Acoustic Wave Propagation
- Type
- article
- Field-Weighted Citation Impact
- 3.45