Work

Porous Carbon Materials: from Traditional Synthesis, Machine Learning‐Assisted Design, to Their Applications in Advanced Energy Storage and Conversion

Year: 2025

Type: article

Source: Advanced Functional Materials

DOI: 10.1002/adfm.202504272

Authors: Haitao Li, Qingchun Yan, Jihao Li, Jieshan Qiu, Haijiao Zhang

Institutions: Shanghai University, State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology

Language: English

Topic: Supercapacitor Materials and Fabrication

Subfield: Electronic, Optical and Magnetic Materials

Field: Materials Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: closed

Funder: Natural Science Foundation of Shanghai

Award: 二维介孔碳材料的可控组装及其钾离子存储机制研究

OpenAlex ID: W4408571850

FWCI: 14.73

Cites: 528

Cited by: 93

Related to: 10