ResNet-KAN for Small-Sample Chemical Formulation Prediction: Hybrid Architecture and Interpretability Analysis.

Zhang Y, Wang Y, Ding X, Zhao L, Wu L

Open source

DOI
10.1021/prechem.5c00402
Published
2026 Aug 24
Container
Precision chemistry
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1021/prechem.5c00402,
  title = {ResNet-KAN for Small-Sample Chemical Formulation Prediction: Hybrid Architecture and Interpretability Analysis.},
  author = {Zhang Y and Wang Y and Ding X and Zhao L and Wu L},
  year = {2026},
  journal = {Precision chemistry},
  doi = {10.1021/prechem.5c00402},
  url = {https://doi.org/10.1021/prechem.5c00402}
}

RIS

TY  - JOUR
TI  - ResNet-KAN for Small-Sample Chemical Formulation Prediction: Hybrid Architecture and Interpretability Analysis.
AU  - Zhang Y
AU  - Wang Y
AU  - Ding X
AU  - Zhao L
AU  - Wu L
PY  - 2026
JO  - Precision chemistry
DO  - 10.1021/prechem.5c00402
UR  - https://doi.org/10.1021/prechem.5c00402
ER  -

APA

Y, Z., Y, W., X, D., L, Z., & L, W. (2026). ResNet-KAN for Small-Sample Chemical Formulation Prediction: Hybrid Architecture and Interpretability Analysis.. Precision chemistry. https://doi.org/10.1021/prechem.5c00402

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