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Cited by in F6Publishing
For: Wittwer M, Seita M. A machine learning approach to map crystal orientation by optical microscopy. npj Comput Mater 2022;8. [DOI: 10.1038/s41524-021-00688-1] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Noell PJ, Sills RB, Benzerga AA, Boyce BL. Void Nucleation During Ductile Rupture of Metals: A Review. Progress in Materials Science 2023. [DOI: 10.1016/j.pmatsci.2023.101085] [Reference Citation Analysis]
2 Demkowicz MJ, Liu M, Mccue ID, Seita M, Stuckner J, Xie K. Quantitative multi-image analysis in metals research. MRS Communications. [DOI: 10.1557/s43579-022-00265-7] [Reference Citation Analysis]
3 Wang X, Yang S, Seita M. Combining polarized light microscopy with machine learning to map crystallographic textures on cubic metals. Materials Characterization 2022;190:112082. [DOI: 10.1016/j.matchar.2022.112082] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Zhu C, Seita M. A physics-based model for crystal orientation dictionary indexing by directional reflectance microscopy. Acta Materialia 2022;231:117863. [DOI: 10.1016/j.actamat.2022.117863] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Sofinowski K, Wittwer M, Seita M. Encoding data into metal alloys using laser powder bed fusion. Additive Manufacturing 2022;52:102683. [DOI: 10.1016/j.addma.2022.102683] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
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