Computational and Machine Learning Methods for CO <sub>2</sub> Capture Using Metal–Organic Frameworks
- DOI
- 10.1021/acsnano.3c13001
- Published
- 2024-08-22
- Container
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acsnano.3c13001,
title = {Computational and Machine Learning Methods for CO
<sub>2</sub>
Capture Using Metal–Organic Frameworks},
author = {Hossein Mashhadimoslem and Mohammad Ali Abdol and Peyman Karimi and Kourosh Zanganeh and Ahmed Shafeen and Ali Elkamel and Milad Kamkar},
year = {2024},
journal = {ACS Nano},
doi = {10.1021/acsnano.3c13001},
url = {https://doi.org/10.1021/acsnano.3c13001}
}RIS
TY - JOUR
TI - Computational and Machine Learning Methods for CO
<sub>2</sub>
Capture Using Metal–Organic Frameworks
AU - Hossein Mashhadimoslem
AU - Mohammad Ali Abdol
AU - Peyman Karimi
AU - Kourosh Zanganeh
AU - Ahmed Shafeen
AU - Ali Elkamel
AU - Milad Kamkar
PY - 2024
JO - ACS Nano
DO - 10.1021/acsnano.3c13001
UR - https://doi.org/10.1021/acsnano.3c13001
ER - APA
Mashhadimoslem, H., Abdol, M. A., Karimi, P., Zanganeh, K., Shafeen, A., Elkamel, A., & Kamkar, M. (2024). Computational and Machine Learning Methods for CO <sub>2</sub> Capture Using Metal–Organic Frameworks. ACS Nano. https://doi.org/10.1021/acsnano.3c13001
Source records
- crossref · retrieved 2026-09-26T03:05:55.800Z