首页|University of Delaware Reports Findings in Machine Learning (Machine-Learning-En abled Thermochemistry Estimator)
University of Delaware Reports Findings in Machine Learning (Machine-Learning-En abled Thermochemistry Estimator)
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 Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Newark, Delaware, by N ewsRx correspondents, research stated, “Modeling adsorbateson single-crystal me tals is critical in rational catalyst design and other research that requires de tailedthermochemistry. First-principles simulations via density functional theo ry (DFT) are among the prevalenttools to acquire such information about surface species.”
NewarkDelawareUnited StatesNorth a nd Central AmericaChemistryCyborgsEmerging TechnologiesMachine LearningThermochemistry