首页|New Findings from University of Manchester in the Area of Machine Learning Repor ted (Engineering Machine Learning Features To Predict Adsorption of Carbon Dioxi de and Nitrogen In Metalorganic Frameworks)
New Findings from University of Manchester in the Area of Machine Learning Repor ted (Engineering Machine Learning Features To Predict Adsorption of Carbon Dioxi de and Nitrogen In Metalorganic Frameworks)
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 - Investigators publish new report on Ma chine Learning. According to news reportingfrom Manchester, United Kingdom, by NewsRx journalists, research stated, “In this article, we proposesimple, interp retable machine learning (ML) features aimed at improving the accuracy of ML mod els inpredicting adsorption of gases, such as methane, ethane, propane, krypton , and xenon, in metal-organicframeworks (MOFs). In particular, we introduce ene rgy-based features that incorporate surface energyhistograms and radial distrib ution functions.”
NETL
NSTL
