Efficient low-temperature thermochemical CO<sub>2</sub> splitting enabled by Gibbs free energy engineering
Gibbs free energy engineering based on high-throughput density functional theory (DFT) calculations combined with machine learning for materials screening in low-temperature thermochemical CO 2 splitting.
Authors
- Xianglei Liu (ORCID: https://orcid.org/0000-0001-5647-5206)
- Liang Teng (ORCID: https://orcid.org/0000-0002-8591-7699)
- Yunfei Gao (ORCID: https://orcid.org/0000-0003-4316-0357)
- Zhonghui Zhu
- Yimin Xuan (ORCID: https://orcid.org/0000-0001-8347-3855)
- Qi Wang (ORCID: https://orcid.org/0000-0002-7693-9749)
Institutions
- East China University of Science and Technology (CN)
- Nanjing University of Aeronautics and Astronautics (CN)
Publication Details
- Journal
- Journal of Materials Chemistry A
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5ta04855a
- Citations
- 1
- Primary Topic
- Chemical Looping and Thermochemical Processes
- Type
- article
- Field-Weighted Citation Impact
- 0.67
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Jiangsu Province