Data supporting: 'Prediction of Combined Sorbent and Catalyst Materials for SE-SMR, Using QSPR and Multitask Learning'

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dc.contributor.authorNkulikiyinka, Paula
dc.date.accessioned2024-05-27T06:25:04Z
dc.date.available2024-05-27T06:25:04Z
dc.date.issued2022-09-01 15:56
dc.description.abstractDatabases and key
dc.description.sponsorshipDTP 2018-19 Cranfield University
dc.identifier.citationNkulikiyinka, Paula (2022). Data supporting: 'Prediction of Combined Sorbent and Catalyst Materials for SE-SMR, Using QSPR and Multitask Learning'. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.19241682
dc.identifier.doi10.17862/cranfield.rd.19241682
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/21704
dc.publisherCranfield University
dc.relation.referenceshttps://doi.org/10.1021/acs.iecr.2c00971'
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject'Carbon Capture Processes'
dc.subject'catalysts'
dc.subject'adsorption'
dc.subject'machine Learning Predictions'
dc.titleData supporting: 'Prediction of Combined Sorbent and Catalyst Materials for SE-SMR, Using QSPR and Multitask Learning'
dc.typeDataset

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