Quantifying microstructures of earth materials using higher-order spatial correlations and deep generative adversarial networks.
- DOI
- 10.1038/s41598-023-28970-w
- Published
- 2023 Jan 31
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-023-28970-w,
title = {Quantifying microstructures of earth materials using higher-order spatial correlations and deep generative adversarial networks.},
author = {Amiri H and Vasconcelos I and Jiao Y and Chen PE and Plümper O},
year = {2023},
journal = {Scientific reports},
doi = {10.1038/s41598-023-28970-w},
url = {https://doi.org/10.1038/s41598-023-28970-w}
}RIS
TY - JOUR TI - Quantifying microstructures of earth materials using higher-order spatial correlations and deep generative adversarial networks. AU - Amiri H AU - Vasconcelos I AU - Jiao Y AU - Chen PE AU - Plümper O PY - 2023 JO - Scientific reports DO - 10.1038/s41598-023-28970-w UR - https://doi.org/10.1038/s41598-023-28970-w ER -
APA
H, A., I, V., Y, J., PE, C., & O, P. (2023). Quantifying microstructures of earth materials using higher-order spatial correlations and deep generative adversarial networks.. Scientific reports. https://doi.org/10.1038/s41598-023-28970-w
Source records
- pubmed · retrieved 2026-09-25T22:56:18.900Z