首页|Researchers from Tianjin University Detail Findings in Machine Learning (Prediction of Nitrogen Solubility In Ionic Liquids By Ma- chine Learning Methods Based On Cosmo-derived Descriptors)
Researchers from Tianjin University Detail Findings in Machine Learning (Prediction of Nitrogen Solubility In Ionic Liquids By Ma- chine Learning Methods Based On Cosmo-derived Descriptors)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Elsevier
2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news originating from Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “The inertness of nitrogen (N2) results in extremely low N2 solubility in most solvents. However, in some important reactions, such as the nitrogen reduction reaction (NRR) driven by light or electrical energy, sufficient N2 feedstock in electrolyte allows the reaction to proceed more smoothly.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), National Key Research and Development Program of China, CAS Project for Young Scientists in Basic Research, State Key Laboratory of Mesoscience and Engineering.
TianjinPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesIonic LiquidsMachine LearningNitrogenSolventsTianjin University
NETL
NSTL
Elsevier
