首页|Findings from Wuhan University of Technology in the Area of Nanoclusters Describ ed (Machine Learning Prediction of Hydrogen Adsorption Energy On Platinum Nanocl usters: a Comparative Study of Soap Descriptors)
Findings from Wuhan University of Technology in the Area of Nanoclusters Describ ed (Machine Learning Prediction of Hydrogen Adsorption Energy On Platinum Nanocl usters: a Comparative Study of Soap 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
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Nanotechnolog y - Nanoclusters. According to news reportingout of Hubei, People’s Republic of China, by NewsRx editors, research stated, “Hydrogen binding energy inmetal ma terials is of high significance in the hydrogen storage as well as the hydrogen evolution reaction ofelectrocatalysis. In this work, the datasets (more than 90 00 data) of hydrogen adsorbed on Pt nanoclusterswith different sizes are obtain ed by first-principles calculations.”
HubeiPeople’s Republic of ChinaAsiaCyborgsElementsEmerging TechnologiesGasesHydrogenInorganic ChemicalsMachine LearningNanoclustersNanotechnologyWuhan University of Technology
NETL
NSTL
