Recent Advances in Machine Learning Models for Predicting Toxicity of Inorganic Nanoparticles

Mingli Li; Qiao-Zhi Li; Yuliang Zhao; Xingfa Gao

doi:10.1021/cbe.5c00048

journal article Open Access Aug 22, 2025

Recent Advances in Machine Learning Models for Predicting Toxicity of Inorganic Nanoparticles

Mingli Li Qiao-Zhi Li

Yuliang Zhao

Xingfa Gao

Chem & Bio Engineering Vol. 2 No. 11 pp. 647-680 · American Chemical Society (ACS)

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Details

Published: Aug 22, 2025
Vol/Issue: 2(11)
Pages: 647-680
License: View

Authors

M

Mingli Li

School of Advanced Interdisciplinary Sciences; University of Chinese Academy of Sciences; Laboratory of Theoretical and Computational Nanoscience; National Center for Nanoscience and Technology of China; University of Chinese Academy of Sciences

Q

Qiao-Zhi Li

Laboratory of Theoretical and Computational Nanoscience; National Center for Nanoscience and Technology of China

Y

Yuliang Zhao

Institute of Nanotechnology and Intelligence (inAI), College of Chemistry and Materials Science; Jinan University

X

Xingfa Gao

School of Advanced Interdisciplinary Sciences; University of Chinese Academy of Sciences; Laboratory of Theoretical and Computational Nanoscience; National Center for Nanoscience and Technology of China

Funding

National Natural Science Foundation of China Award: 22388101

National Key Research and Development Program of China Award: 2024YFA1208300

Cite This Article

Mingli Li, Qiao-Zhi Li, Yuliang Zhao, et al. (2025). Recent Advances in Machine Learning Models for Predicting Toxicity of Inorganic Nanoparticles. Chem & Bio Engineering, 2(11), 647-680. https://doi.org/10.1021/cbe.5c00048

Recent Advances in Machine Learning Models for Predicting Toxicity of Inorganic Nanoparticles

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