Work

Ultrahigh Conversion Efficiencies of Electrical Energy for Water Nanodroplets Impinging on Graphene Surfaces: A Density-Functional-Theory Based Machine Learning Study

Year: 2025

Type: article

Source: The Journal of Physical Chemistry C

DOI: 10.1021/acs.jpcc.5c03266

Authors: Hao Li, Junlong Chen, Jianxin Zhou, Yufeng Guo

Institution: Nanjing University of Aeronautics and Astronautics

Language: English

Topic: Advanced Sensor and Energy Harvesting Materials

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funders: National Natural Science Foundation of China, Priority Academic Program Development of Jiangsu Higher Education Institutions, Fundamental Research Funds for the Central Universities

Awards: G4590186818, G5653459436

OpenAlex ID: W7081934119

FWCI:

Cites: 52

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