The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Green Carbon Science: Efficient Carbon Resource Processing, Utilization, and Recycling towards Carbon Neutrality
Abstract
Green carbon science is defined as the “study and optimization of the transformation of carbon‐containing compounds and the relevant processes involved in the entire carbon cycle from carbon resource processing, carbon energy utilization, CO 2 fixation, and carbon recycling to utilize carbon resources efficiently and minimize the net CO 2 emission.”[1] Green carbon science is related closely to carbon neutrality, and relevant fields have developed quickly in the last decade. In this Minireview, we propose the concept of carbon energy index, and the recent progress in petroleum refining, and the production of liquid fuels, chemicals, and materials using coal, methane, CO 2, biomass, and waste plastics is highlighted in combination with green carbon science. An outlook for these important fields is provided in the final section.
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Cites
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Cited by
Carbon dioxide capture with zeotype materials
Fu, D., & Davis, M. E. (2022) · Chemical Society Reviews · doi:10.1039/d2cs00508e · Cited by 284
Wu, Z., Yang, P., Li, Q., Xiao, W., Li, Z., Xu, G., Liu, F., Jia, B., Ma, T., Feng, S., et al. (2023) · Angewandte Chemie International Edition · doi:10.1002/anie.202300406 · Cited by 226
Metadata
- Authors
- He, M., Sun, Y., & Han, B.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2022-02-10
- Volume
- 61
- Issue
- 15
- Pages
- e202112835-e202112835
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W4200091174
- Cited by
- 449
- References
- 20
- FWCI
- 13.22
- Type
- journal article
- Language
- en
- Open access
- closed
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- He, M., Sun, Y., & Han, B. (2022). Green Carbon Science: Efficient Carbon Resource Processing, Utilization, and Recycling towards Carbon Neutrality. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.202112835
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
