Cover Feature: Revisiting Machine Learning Predictions for Oxidative Coupling of Methane (OCM) based on Literature Data (ChemCatChem 23/2020)
نویسندگان
چکیده
منابع مشابه
Effect of Additives on Mn/SiO2 Based Catalysts on Oxidative Coupling of Methane
The Oxidative Coupling of Methane (OCM) over M-Na-Mn/SiO2 catalysts (M=W, Cr, Nb and V) was investigated using a continuous-flow quartz reactor at 775°C, 1 atm and 100 cm3min-1 gas flow rates, and correlated with the observed structure and redox properties.The interaction effects of the metal-metal and metal-support on the...
متن کاملMiniplant-Scale Analysis of Oxidative Coupling of Methane Process
For more than three decades, Oxidative Coupling of Methane (OCM) process has been comprehensively investigated as an attractive alternative for the commercially available ethylene production technologies such as ethane and naphtha cracking. Developing a suitable catalyst and proper reactor feeding policy, reviewing and deploying the efficient methods in the separation and purification of the un...
متن کاملapplication of upfc based on svpwm for power quality improvement
در سالهای اخیر،اختلالات کیفیت توان مهمترین موضوع می باشد که محققان زیادی را برای پیدا کردن راه حلی برای حل آن علاقه مند ساخته است.امروزه کیفیت توان در سیستم قدرت برای مراکز صنعتی،تجاری وکاربردهای بیمارستانی مسئله مهمی می باشد.مشکل ولتاژمثل شرایط افت ولتاژواضافه جریان ناشی از اتصال کوتاه مدار یا وقوع خطا در سیستم بیشتر مورد توجه می باشد. برای مطالعه افت ولتاژ واضافه جریان،محققان زیادی کار کرده ...
15 صفحه اولeffect of additives on mn/sio2 based catalysts on oxidative coupling of methane
the oxidative coupling of methane (ocm) over m-na-mn/sio2 catalysts (m=w, cr, nb and v) was investigated using a continuous-flow quartz reactor at 775°c, 1 atm and 100 cm3min-1 gas flow rates, and correlated with the observed structure and redox properties.the interaction effects of the metal-metal and metal-support on the methane conversion and c2+ yield were investigated using x-ray diffracti...
متن کاملCorrelation-based Feature Selection for Machine Learning
A central problem in machine learning is identifying a representative set of features from which to construct a classification model for a particular task. This thesis addresses the problem of feature selection for machine learning through a correlation based approach. The central hypothesis is that good feature sets contain features that are highly correlated with the class, yet uncorrelated w...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ChemCatChem
سال: 2020
ISSN: 1867-3880,1867-3899
DOI: 10.1002/cctc.202001722