"Gradient Boosted Machine Learning Model to Predict H2, ..."

Tom Bailey et al. (2023)

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DOI: 10.1021/ACS.JCIM.3C00135

access: open

type: Journal Article

metadata version: 2024-06-08

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Tom Bailey, Adam Jackson, Razvan-Antonio Berbece, Kejun Wu, Nicole Hondow, Elaine B. Martin:
Gradient Boosted Machine Learning Model to Predict H₂, CH₄, and CO₂ Uptake in Metal-Organic Frameworks Using Experimental Data. J. Chem. Inf. Model. 63(15): 4545-4551 (2023)

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