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Space Series: Leveraging Geometric Features of Heterostructures for Cross-Composition Property Prediction of Core–Shell Quantum Dots

Year: 2026

Type: article

Source: The Journal of Physical Chemistry Letters

DOI: 10.1021/acs.jpclett.5c03783

Authors: Xinyu Deng, Jinzhe Cao, Shengyang Tao

Institutions: Dalian University of Technology, State Key Laboratory of Fine Chemicals

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities

Awards: G1852470804, G3692677746

OpenAlex ID: W7128393649

FWCI:

Cites: 62

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