Multi-parameter optimization of attenuation data for characterizing grain size distributions and application to bimodal microstructures
- DOI
- 10.1016/j.ultras.2021.106425
- Published
- 2021-08
- Container
- Ultrasonics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ultras.2021.106425,
title = {Multi-parameter optimization of attenuation data for characterizing grain size distributions and application to bimodal microstructures},
author = {Adrien Renaud and Bing Tie and Anne-Sophie Mouronval and Jean-Hubert Schmitt},
year = {2021},
journal = {Ultrasonics},
doi = {10.1016/j.ultras.2021.106425},
url = {https://doi.org/10.1016/j.ultras.2021.106425}
}RIS
TY - JOUR TI - Multi-parameter optimization of attenuation data for characterizing grain size distributions and application to bimodal microstructures AU - Adrien Renaud AU - Bing Tie AU - Anne-Sophie Mouronval AU - Jean-Hubert Schmitt PY - 2021 JO - Ultrasonics DO - 10.1016/j.ultras.2021.106425 UR - https://doi.org/10.1016/j.ultras.2021.106425 ER -
APA
Renaud, A., Tie, B., Mouronval, A., & Schmitt, J. (2021). Multi-parameter optimization of attenuation data for characterizing grain size distributions and application to bimodal microstructures. Ultrasonics. https://doi.org/10.1016/j.ultras.2021.106425
Source records
- crossref · retrieved 2026-09-27T01:40:55.846Z