Accelerating the prediction of CO2 capture at low partial pressures in metal-organic frameworks using new machine learning descriptors

Research article (Communications Chemistry, 2023) · cited 40× · AI/ML
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Accelerating the prediction of CO2 capture at low partial pressures in metal-organic frameworks using new machine learning descriptors

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Accelerating the prediction of CO2 capture at low partial pressures in metal-organic frameworks using new machine learning descriptors is a scholarly article[1].

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  • Accelerating the prediction of CO2 capture at low partial pressures in metal-organic frameworks using new machine learning descriptors's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Accelerating the prediction of CO2 capture at low partial pressures in metal-organic frameworks using new machine learning descriptors. Retrieved May 24, 2026, from https://4ort.xyz/entity/accelerating-the-prediction-of-co2-capture-at-low-partial-pressures-in-metal-organic-frameworks-using-new-machine-learni
MLA “Accelerating the prediction of CO2 capture at low partial pressures in metal-organic frameworks using new machine learning descriptors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/accelerating-the-prediction-of-co2-capture-at-low-partial-pressures-in-metal-organic-frameworks-using-new-machine-learni.
BibTeX @misc{4ortxyz_accelerating-the-prediction-of-co2-capture-at-low-partial-pressures-in-metal-organic-frameworks-using-new-machine-learni_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Accelerating the prediction of CO2 capture at low partial pressures in metal-organic frameworks using new machine learning descriptors}}, year = {2026}, url = {https://4ort.xyz/entity/accelerating-the-prediction-of-co2-capture-at-low-partial-pressures-in-metal-organic-frameworks-using-new-machine-learni}, note = {Accessed: 2026-05-24}}
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