Cross-Contamination Identification of Additive Manufacturing Metal Powders Using Spatially Confined Particle-Flow LIBS and Machine Learning
- DOI
- 10.3390/s26123591
- Published
- 2026-06-06
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26123591,
title = {Cross-Contamination Identification of Additive Manufacturing Metal Powders Using Spatially Confined Particle-Flow LIBS and Machine Learning},
author = {Leiyi Ding and Dan Feng and Yinghao Wang and Mengjie Shan and Yuanbin Wang and Nan Ma},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26123591},
url = {https://doi.org/10.3390/s26123591}
}RIS
TY - JOUR TI - Cross-Contamination Identification of Additive Manufacturing Metal Powders Using Spatially Confined Particle-Flow LIBS and Machine Learning AU - Leiyi Ding AU - Dan Feng AU - Yinghao Wang AU - Mengjie Shan AU - Yuanbin Wang AU - Nan Ma PY - 2026 JO - Sensors DO - 10.3390/s26123591 UR - https://doi.org/10.3390/s26123591 ER -
APA
Ding, L., Feng, D., Wang, Y., Shan, M., Wang, Y., & Ma, N. (2026). Cross-Contamination Identification of Additive Manufacturing Metal Powders Using Spatially Confined Particle-Flow LIBS and Machine Learning. Sensors. https://doi.org/10.3390/s26123591
Source records
- crossref · retrieved 2026-11-10T07:07:40.395Z