Bayesian optimization for the direct optimization of temperature-programmed separations in ultra-fast gas chromatography electronic nose

Jian Wang, Zhonggai Zhao, Fei Liu

Open source

DOI: 10.1016/j.chroma.2026.467193
Published: 2026-08
Container: Journal of Chromatography A
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.chroma.2026.467193,
  title = {Bayesian optimization for the direct optimization of temperature-programmed separations in ultra-fast gas chromatography electronic nose},
  author = {Jian Wang and Zhonggai Zhao and Fei Liu},
  year = {2026},
  journal = {Journal of Chromatography A},
  doi = {10.1016/j.chroma.2026.467193},
  url = {https://doi.org/10.1016/j.chroma.2026.467193}
}

RIS

TY  - JOUR
TI  - Bayesian optimization for the direct optimization of temperature-programmed separations in ultra-fast gas chromatography electronic nose
AU  - Jian Wang
AU  - Zhonggai Zhao
AU  - Fei Liu
PY  - 2026
JO  - Journal of Chromatography A
DO  - 10.1016/j.chroma.2026.467193
UR  - https://doi.org/10.1016/j.chroma.2026.467193
ER  -

APA

Wang, J., Zhao, Z., & Liu, F. (2026). Bayesian optimization for the direct optimization of temperature-programmed separations in ultra-fast gas chromatography electronic nose. Journal of Chromatography A. https://doi.org/10.1016/j.chroma.2026.467193

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crossref · retrieved 2026-09-25T07:50:25.787Z