首页|Reports Summarize Machine Learning Findings from Shenyang University of Technology (Explainable Molecular Simulation and Machine Learning for Carbon Dioxide Adsorption On Magnesium Oxide)
Reports Summarize Machine Learning Findings from Shenyang University of Technology (Explainable Molecular Simulation and Machine Learning for Carbon Dioxide Adsorption On Magnesium Oxide)
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NETL
NSTL
Elsevier
Investigators publish new report on Machine Learning. According to news reporting originating from Liaoning, People’s Republic of China, by NewsRx correspondents, research stated, “The effects of the adsorption energy of CO2 within MgO at different temperatures were investigated by molecular dynamics simulations and experimentally verified. The adsorption mechanism of CO2 within MgO was discussed and explained qualitatively.” Funders for this research include National Natural Science Foundation of China Youth Science Foundation, Liaoning Application demonstration of new generation light, Guangdong Basic and Applied Basic Research Fund, Shantou University.
LiaoningPeople’s Republic of ChinaAsiaAnionsCarbon DioxideChemicalsCyborgsEmerging TechnologiesInorganic Carbon CompoundsLight MetalsMachine LearningMagnesiumMagnesium CompoundsMagnesium OxideMolecular DynamicsOxidesPhysicsShenyang University of Technology
NETL
NSTL
Elsevier
