Ensemble latent assimilation with deep learning surrogate model: application to drop interaction in a microfluidics device.
- DOI
- 10.1039/d2lc00303a
- Published
- 2022 Aug 23
- Container
- Lab on a chip
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1039/d2lc00303a,
title = {Ensemble latent assimilation with deep learning surrogate model: application to drop interaction in a microfluidics device.},
author = {Zhuang Y and Cheng S and Kovalchuk N and Simmons M and Matar OK and Guo YK and Arcucci R},
year = {2022},
journal = {Lab on a chip},
doi = {10.1039/d2lc00303a},
url = {https://doi.org/10.1039/d2lc00303a}
}RIS
TY - JOUR TI - Ensemble latent assimilation with deep learning surrogate model: application to drop interaction in a microfluidics device. AU - Zhuang Y AU - Cheng S AU - Kovalchuk N AU - Simmons M AU - Matar OK AU - Guo YK AU - Arcucci R PY - 2022 JO - Lab on a chip DO - 10.1039/d2lc00303a UR - https://doi.org/10.1039/d2lc00303a ER -
APA
Y, Z., S, C., N, K., M, S., OK, M., YK, G., & R, A. (2022). Ensemble latent assimilation with deep learning surrogate model: application to drop interaction in a microfluidics device.. Lab on a chip. https://doi.org/10.1039/d2lc00303a
Source records
- pubmed · retrieved 2026-09-25T02:08:22.399Z