Identification of Metal–Organic Frameworks for CO2 Capture from Humid Flue Gas: Integrating Molecular Simulation, Machine Learning, and Experimental Synthesis
- DOI
- 10.1021/jacs.6c10566
- Published
- 2026-08-04
- Container
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/jacs.6c10566,
title = {Identification
of Metal–Organic Frameworks
for CO2 Capture from Humid Flue Gas: Integrating Molecular
Simulation, Machine Learning, and Experimental Synthesis},
author = {Jiayang Liu and Xiaoliang Wang and Xiyang Liu and Zi-Ming Ye and Thang D. Pham and Filip Formalik and Manuel Tsotsalas and Omar K. Farha and Randall Q. Snurr},
year = {2026},
journal = {Journal of the American Chemical Society},
doi = {10.1021/jacs.6c10566},
url = {https://doi.org/10.1021/jacs.6c10566}
}RIS
TY - JOUR TI - Identification of Metal–Organic Frameworks for CO2 Capture from Humid Flue Gas: Integrating Molecular Simulation, Machine Learning, and Experimental Synthesis AU - Jiayang Liu AU - Xiaoliang Wang AU - Xiyang Liu AU - Zi-Ming Ye AU - Thang D. Pham AU - Filip Formalik AU - Manuel Tsotsalas AU - Omar K. Farha AU - Randall Q. Snurr PY - 2026 JO - Journal of the American Chemical Society DO - 10.1021/jacs.6c10566 UR - https://doi.org/10.1021/jacs.6c10566 ER -
APA
Liu, J., Wang, X., Liu, X., Ye, Z., Pham, T. D., Formalik, F., Tsotsalas, M., Farha, O. K., & Snurr, R. Q. (2026). Identification of Metal–Organic Frameworks for CO2 Capture from Humid Flue Gas: Integrating Molecular Simulation, Machine Learning, and Experimental Synthesis. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.6c10566
Source records
- crossref · retrieved 2026-09-26T19:41:09.438Z