DOI: 10.1126/sciadv.1600909. In silico discovery of metal-organic frameworks for precombustion CO <sub>2</sub> capture using a genetic algorithm

In silico discovery of metal-organic frameworks for precombustion CO 2 capture using a genetic algorithm

10.1126/sciadv.1600909

Crossref journal-article

American Association for the Advancement of Science (AAAS)

Science Advances (221)

Abstract

A genetic algorithm was used to accelerate the computational discovery of new nanoporous materials for capturing CO 2 .

Bibliography

Chung, Y. G., GÃ³mez-GualdrÃ³n, D. A., Li, P., Leperi, K. T., Deria, P., Zhang, H., Vermeulen, N. A., Stoddart, J. F., You, F., Hupp, J. T., Farha, O. K., & Snurr, R. Q. (2016). In silico discovery of metal-organic frameworks for precombustion CO 2 capture using a genetic algorithm. Science Advances, 2(10).

Authors 12

Yongchul G. Chung (first)
Diego A. Gómez-Gualdrón (additional)
Peng Li (additional)
Karson T. Leperi (additional)
Pravas Deria (additional)
Hongda Zhang (additional)
Nicolaas A. Vermeulen (additional)
J. Fraser Stoddart (additional)
Fengqi You (additional)
Joseph T. Hupp (additional)
Omar K. Farha (additional)
Randall Q. Snurr (additional)

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Dates

Type	When
Created	8 years, 10 months ago (Oct. 14, 2016, 10:49 p.m.)
Deposited	1 year, 7 months ago (Jan. 9, 2024, 2:46 p.m.)
Indexed	2 hours, 3 minutes ago (Aug. 30, 2025, 12:22 p.m.)
Issued	8 years, 10 months ago (Oct. 7, 2016)
Published	8 years, 10 months ago (Oct. 7, 2016)
Published Print	8 years, 10 months ago (Oct. 7, 2016)

Funders 6

U.S. Department of Energy 10.13039/100000015
Region: Americas
gov (National government)
Labels8
1. Energy Department
2. Department of Energy
3. United States Department of Energy
4. ENERGY.GOV
5. US Department of Energy
6. USDOE
7. DOE
8. USADOE
Awards2
1. ID0EI2CI
2. DE-FG02-12ER16362
U.S. Department of Energy 10.13039/100000015
Region: Americas
gov (National government)
Labels8
1. Energy Department
2. Department of Energy
3. United States Department of Energy
4. ENERGY.GOV
5. US Department of Energy
6. USDOE
7. DOE
8. USADOE
Awards2
1. DE-FG02-08ER15967
2. ID0EG6CI
U.S. Department of Energy 10.13039/100000015
Region: Americas
gov (National government)
Labels8
1. Energy Department
2. Department of Energy
3. United States Department of Energy
4. ENERGY.GOV
5. US Department of Energy
6. USDOE
7. DOE
8. USADOE
Awards2
1. ID0EIDDI
2. DE-FG02-08ER15967
King Abdulaziz City for Science and Technology 10.13039/501100004919
Region: Asia
gov (National government)
Labels1
1. KACST
Awards1
1. ID0EEHDI
Northwestern University 10.13039/100007059
Region: Americas
pri (Universities (academic only))
Labels3
1. Northwestern
2. Universitas Northwestern
3. NU
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Stanford University 10.13039/100005492
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Labels3
1. Stanford
2. Leland Stanford Junior University
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BibTeX

@article{Chung_2016, title={In silico discovery of metal-organic frameworks for precombustion CO 2 capture using a genetic algorithm}, volume={2}, ISSN={2375-2548}, url={http://dx.doi.org/10.1126/sciadv.1600909}, DOI={10.1126/sciadv.1600909}, number={10}, journal={Science Advances}, publisher={American Association for the Advancement of Science (AAAS)}, author={Chung, Yongchul G. and Gómez-Gualdrón, Diego A. and Li, Peng and Leperi, Karson T. and Deria, Pravas and Zhang, Hongda and Vermeulen, Nicolaas A. and Stoddart, J. Fraser and You, Fengqi and Hupp, Joseph T. and Farha, Omar K. and Snurr, Randall Q.}, year={2016}, month=oct }

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