Machine learning-enabled multivariate optimization and model-inferred process associations in the co-precipitation synthesis of Y(2)O(3) nanoparticles.
- DOI
- 10.1016/j.jcis.2026.141660
- Published
- 2026 Sep 25
- Container
- Journal of colloid and interface science
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jcis.2026.141660,
title = {Machine learning-enabled multivariate optimization and model-inferred process associations in the co-precipitation synthesis of Y(2)O(3) nanoparticles.},
author = {Meng H and Chen J and Zhang Y and Su Y and Ban T and Lin J and Tao J and Zhou Y and Gao H},
year = {2026},
journal = {Journal of colloid and interface science},
doi = {10.1016/j.jcis.2026.141660},
url = {https://doi.org/10.1016/j.jcis.2026.141660}
}RIS
TY - JOUR TI - Machine learning-enabled multivariate optimization and model-inferred process associations in the co-precipitation synthesis of Y(2)O(3) nanoparticles. AU - Meng H AU - Chen J AU - Zhang Y AU - Su Y AU - Ban T AU - Lin J AU - Tao J AU - Zhou Y AU - Gao H PY - 2026 JO - Journal of colloid and interface science DO - 10.1016/j.jcis.2026.141660 UR - https://doi.org/10.1016/j.jcis.2026.141660 ER -
APA
H, M., J, C., Y, Z., Y, S., T, B., J, L., J, T., Y, Z., & H, G. (2026). Machine learning-enabled multivariate optimization and model-inferred process associations in the co-precipitation synthesis of Y(2)O(3) nanoparticles.. Journal of colloid and interface science. https://doi.org/10.1016/j.jcis.2026.141660
Source records
- pubmed · retrieved 2026-09-27T10:53:26.140Z