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Correction: Chemically-informed active learning enables data-efficient multi-objective optimization of self-healing polyurethanes
Kang
Liang†
,
Xinke
Qi†
,
Xu
Xiao
,
Li
Wang
* and
Jinglai
Zhang
*
Henan Key Laboratory of Protection and Safety Energy Storage of Light Metal Materials, College of Chemistry and Molecular Sciences, Henan University, Kaifeng 475004, China. E-mail: chemwangl@henu.edu.cn; zhangjinglai@henu.edu.cn
First published on 22nd January 2026
Abstract
Correction for ‘Chemically-informed active learning enables data-efficient multi-objective optimization of self-healing polyurethanes’ by Kang Liang et al., Chem. Sci., 2026, https://doi.org/10.1039/D5SC07752D.
The authors regret that in the original manuscript, there was a URL included in error in the Acknowledgements section. The Acknowledgements should therefore appear as below.
The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers.
Acknowledgements
This work was supported by the National Natural Science Foundation of China (22578099) and Basic Research Program of key scientific research projects in Henan province (23ZX010).Footnote |
| † These authors contributed equally to this work. |
| This journal is © The Royal Society of Chemistry 2026 |