Work

Function–Structure–Synthesis: Machine Learning Enabled Closed-Loop Design of Biomass-Derived Porous Carbon Materials

Year: 2025

Type: article

Source: ACS Sustainable Chemistry & Engineering

DOI: 10.1021/acssuschemeng.4c08492

Authors: Xiaotong Sun, Ruili Li, Bowen Zhang, Hui Wang, Yujun Cheng, Jianping Guan, Qi Liu, Xiaoqing Chen

Institutions: Central South University, Tianjin University, State Key Laboratory of Chemical Engineering

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Responsible consumption and production, Industry, innovation and infrastructure, Climate action

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Hunan Province, Innovation-Driven Project of Central South University

Awards: G1339864048, G1564138948, G3734563054, G8364188378

OpenAlex ID: W4410477486

FWCI: 2.909

Cites: 67

Cited by: 14

Related to: 10