The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Optimization of multistage femtosecond laser drilling process using machine learning coupled with molecular dynamics
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Citations
Cites
Ultrafast lasers—reliable tools for advanced materials processing
Sugioka, K., & Cheng, Y. (2014) · Light: Science & Applications · doi:10.1038/lsa.2014.30 · Cited by 1,545
Deriving effective mesoscale potentials from atomistic simulations
Reith, D., Pütz, M., & Müller‐Plathe, F. (2003) · Journal of Computational Chemistry · doi:10.1002/jcc.10307 · Cited by 1,314
Combined atomistic-continuum modeling of short-pulse laser melting and disintegration of metal films
Ivanov, D. S., & Zhigilei, L. V. (2003) · Physical Review B · doi:10.1103/physrevb.68.064114 · Cited by 788
Multiscale coarse graining of liquid-state systems
Izvekov, S., & Voth, G. A. (2005) · The Journal of Chemical Physics · doi:10.1063/1.2038787 · Cited by 653
Zhigilei, L. V., Lin, Z., & Ivanov, D. S. (2009) · The Journal of Physical Chemistry C · doi:10.1021/jp902294m · Cited by 538
Shen, C., Wang, C., Wei, X., Li, Y., van der Zwaag, S., & Xu, W. (2019) · Acta Materialia · doi:10.1016/j.actamat.2019.08.033 · Cited by 493
Self-citationA review of ultrafast laser materials micromachining
Cheng, J., Liu, C.-S., Shang, S., Liu, D., Perrie, W., Dearden, G., & Watkins, K. (2013) · Optics & Laser Technology · doi:10.1016/j.optlastec.2012.06.037 · Cited by 416
Wu, C., & Zhigilei, L. V. (2014) · Applied Physics A · doi:10.1007/s00339-013-8086-4 · Cited by 367
Dynamics of the plume formation and parameters of the ejected clusters in short-pulse laser ablation
Zhigilei, L. V. (2003) · Applied Physics A: Materials Science & Processing · doi:10.1007/s00339-002-1818-5 · Cited by 314
Femtosecond Laser Precision Engineering: From Micron, Submicron, to Nanoscale
Lin, Z., & Hong, M. (2021) · Ultrafast Science · doi:10.34133/2021/9783514 · Cited by 253
Metadata
- Authors
- Wang, C., Zhang, Z., Jing, X., Yang, Z., & Xu, W.
- Venue
- Optics & Laser Technology
- Publisher
- Elsevier BV
- Published
- 2022-12
- Volume
- 156
- Pages
- 108442
- ISSN
- 0030-3992 (ISSN-L)
- OpenAlex
- W4288032421
- Cited by
- 253
- References
- 25
- FWCI
- 8.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Optimization of multistage femtosecond laser drilling process using machine learning coupled with molecular dynamics. https://app.cochat.ai/papers/10.1016/j.optlastec.2022.108442
- The paper
- Wang, C., Zhang, Z., Jing, X., Yang, Z., & Xu, W. (2022). Optimization of multistage femtosecond laser drilling process using machine learning coupled with molecular dynamics. Optics & Laser Technology. https://doi.org/10.1016/j.optlastec.2022.108442
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
