High-accuracy QSPR models for azeotropic property prediction of binary aromatic hydrocarbon mixtures: a genetic function approximation approach.
- DOI
- 10.1007/s00894-026-06762-z
- Published
- 2026 May 13
- Container
- Journal of molecular modeling
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00894-026-06762-z,
title = {High-accuracy QSPR models for azeotropic property prediction of binary aromatic hydrocarbon mixtures: a genetic function approximation approach.},
author = {Lv L and Zeng X and Han L and Guo X and Sun S and Huang H and Wu X and Tang D},
year = {2026},
journal = {Journal of molecular modeling},
doi = {10.1007/s00894-026-06762-z},
url = {https://doi.org/10.1007/s00894-026-06762-z}
}RIS
TY - JOUR TI - High-accuracy QSPR models for azeotropic property prediction of binary aromatic hydrocarbon mixtures: a genetic function approximation approach. AU - Lv L AU - Zeng X AU - Han L AU - Guo X AU - Sun S AU - Huang H AU - Wu X AU - Tang D PY - 2026 JO - Journal of molecular modeling DO - 10.1007/s00894-026-06762-z UR - https://doi.org/10.1007/s00894-026-06762-z ER -
APA
L, L., X, Z., L, H., X, G., S, S., H, H., X, W., & D, T. (2026). High-accuracy QSPR models for azeotropic property prediction of binary aromatic hydrocarbon mixtures: a genetic function approximation approach.. Journal of molecular modeling. https://doi.org/10.1007/s00894-026-06762-z
Source records
- pubmed · retrieved 2026-09-25T15:22:00.406Z