Physics-guided machine learning for predicting complete tool influence functions in flexible ball-end polishing
- DOI
- 10.1364/oe.612672
- Published
- 2026-10-21
- Container
- Optics Express
- Publisher
- Optica Publishing Group
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1364/oe.612672,
title = {Physics-guided machine learning for predicting complete tool influence functions in flexible ball-end polishing},
author = {Shi Pan and Longxiang Li and Xingchang Li and Jinbo Zhang and Rummu Cheng and Yixing Qu and Qiang Cheng and Donglin Xue and Xuejun Zhang},
year = {2026},
journal = {Optics Express},
doi = {10.1364/oe.612672},
url = {https://doi.org/10.1364/oe.612672}
}RIS
TY - JOUR TI - Physics-guided machine learning for predicting complete tool influence functions in flexible ball-end polishing AU - Shi Pan AU - Longxiang Li AU - Xingchang Li AU - Jinbo Zhang AU - Rummu Cheng AU - Yixing Qu AU - Qiang Cheng AU - Donglin Xue AU - Xuejun Zhang PY - 2026 JO - Optics Express DO - 10.1364/oe.612672 UR - https://doi.org/10.1364/oe.612672 ER -
APA
Pan, S., Li, L., Li, X., Zhang, J., Cheng, R., Qu, Y., Cheng, Q., Xue, D., & Zhang, X. (2026). Physics-guided machine learning for predicting complete tool influence functions in flexible ball-end polishing. Optics Express. https://doi.org/10.1364/oe.612672
Source records
- crossref · retrieved 2026-11-04T16:45:37.588Z