The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Metallurgy, mechanistic models and machine learning in metal printing
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Citations
Cites
LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126
Machine learning: Trends, perspectives, and prospects
Jordan, M. I., & Mitchell, T. M. (2015) · Science · doi:10.1126/science.aaa8415 · Cited by 9,955
Efficient numerical modeling of 3D-printed lattice-cell structures using neural networks
Koeppe, A., Hernandez Padilla, C. A., Voshage, M., Schleifenbaum, J. H., & Markert, B. (2018) · Manufacturing Letters · doi:10.1016/j.mfglet.2018.01.002 · Cited by 77
Cited by
Strong yet ductile nanolamellar high-entropy alloys by additive manufacturing
Ren, J., Zhang, Y., Zhao, D., Chen, Y., Guan, S., Liu, Y., Liu, L., Peng, S., Kong, F., Poplawsky, J. D., et al. (2022) · Nature · doi:10.1038/s41586-022-04914-8 · Cited by 747
Progress and Opportunities for Machine Learning in Materials and Processes of Additive Manufacturing
Ng, W. L., Goh, G. L., Goh, G. D., Ten, J. S. J., & Yeong, W. Y. (2024) · Advanced Materials · doi:10.1002/adma.202310006 · Cited by 339
Zhao, L., Song, L., Santos Macías, J. G., Zhu, Y., Huang, M., Simar, A., & Li, Z. (2022) · Additive Manufacturing · doi:10.1016/j.addma.2022.102914 · Cited by 292
Wang, S., Ning, J., Zhu, L., Yang, Z., Yan, W., Dun, Y., Xue, P., Xu, P., Bose, S., & Bandyopadhyay, A. (2022) · Materials Today · doi:10.1016/j.mattod.2022.08.014 · Cited by 279
Mukherjee, T., Elmer, J. W., Wei, H. L., Lienert, T. J., Zhang, W., Kou, S., & DebRoy, T. (2023) · Progress in Materials Science · doi:10.1016/j.pmatsci.2023.101153 · Cited by 267
Self-citation
Metadata
- Authors
- DebRoy, T., Mukherjee, T., Wei, H. L., Elmer, J. W., & Milewski, J. O.
- Venue
- Nature Reviews Materials
- Published
- 2020-10-02
- Volume
- 6
- Issue
- 1
- Pages
- 48-68
- ISSN
- 2058-8437 (ISSN-L)
- OpenAlex
- W3090689398
- Cited by
- 497
- References
- 3
- FWCI
- 5.14
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Metallurgy, mechanistic models and machine learning in metal printing. https://app.cochat.ai/papers/10.1038/s41578-020-00236-1
- The paper
- DebRoy, T., Mukherjee, T., Wei, H. L., Elmer, J. W., & Milewski, J. O. (2020). Metallurgy, mechanistic models and machine learning in metal printing. Nature Reviews Materials. https://doi.org/10.1038/s41578-020-00236-1
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.
