Work

Highly Efficient Broad-Spectrum Antibacterial Carbon Dots through Hierarchical Machine Learning Framework

Year: 2026

Type: article

Source: Nano Letters

DOI: 10.1021/acs.nanolett.6c00237

Authors: Fu-Kui Li, Wen-Bo Zhao, Yong Wang, Rui Guo, Bao-Shuai Shi, Lin Jia, Shi-Yu Song, Chong-Xin Shan, Kai-Kai Liu

Institutions: Zhengzhou University, Henan Academy of Sciences

Language: English

Topic: Carbon and Quantum Dots Applications

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation

Awards: G800323144, G8460035886, G905291894

OpenAlex ID: W7161376756

FWCI:

Cites: 43

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