A prediction model for CO2/CO adsorption performance on binary alloys based on machine learning
Author:
Affiliation:
1. School of Chemistry and Chemical Engineering, Southwest Petroleum University, Chengdu, 610500, P. R. China
Abstract
Publisher
Royal Society of Chemistry (RSC)
Link
http://pubs.rsc.org/en/content/articlepdf/2024/RA/D4RA00710G
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5. Time-lagged effects of weekly climatic and socio-economic factors on ANN municipal yard waste prediction models
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