Data on Machine Learning Discussed by Researchers at East China University of Sc ience and Technology (Machine Learning Boosted Eutectic Solvent Design for Co2 C apture With Experimental Validation)
Data on Machine Learning Discussed by Researchers at East China University of Sc ience and Technology (Machine Learning Boosted Eutectic Solvent Design for Co2 C apture With Experimental Validation)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating from Shanghai, People’ s Republic of China, by NewsRx correspondents, research stated, “Althougheutect ic solvents (ESs) have garnered significant attention as promising solvents for carbon dioxide(CO2) capture, systematic studies on discovering novel ESs linkin g machine learning (ML) and experimentalvalidation are scarce. For the reliable prediction of CO2-in-ES solubility, ensemble ML modeling basedon random forest and extreme gradient boosting with inputs of COSMO-RS derived molecular descrip torsis rigorously performed, for which an extensive experimental CO2-in-ES solu bility database of 2438 datapoints in 162 ESs involving 106 ES systems are coll ected.”
Key words
Shanghai/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/East China University of S cience and Technology
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