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Machine learning-aided 3D-AFM for identification of spatial heterogeneity in interfacial solvation structures

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Year: 2026
Type: article
Source: Nanoscale
DOI: 10.1039/d6nr00856a
Authors: Jiacheng Li, Zehao Li, Zhi Xu, Changlong Ruan, Jinhu Yang, Han Li, Ming Ma
Institutions: State Key Laboratory of Tribology, Tsinghua University, Chinese Academy of Sciences, Institute of Engineering Thermophysics, Research Institute of Tsinghua University in Shenzhen
Language: English

Topic: Force Microscopy Techniques and Applications
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences

Open Access status: closed

Funders: National Development and Reform Commission, National Key Research and Development Program of China
Awards: G1175373966, G186965657
OpenAlex ID: W7165131440
FWCI: 5.441
Cites: 45
Cited by: 2
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