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Gradient Boosted Machine Learning Model to Predict H(2), CH(4), and CO(2) Uptake in Metal–Organic Frameworks Using Experimental Data
[Image: see text] Predictive screening of metal–organic framework (MOF) materials for their gas uptake properties has been previously limited by using data from a range of simulated sources, meaning the final predictions are dependent on the performance of these original models. In this work, experi...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10428209/ https://www.ncbi.nlm.nih.gov/pubmed/37463276 http://dx.doi.org/10.1021/acs.jcim.3c00135 |