Response surface optimization of syngas production from greenhouse gases via DRM over high performance Ni–W catalyst

Response Surface Optimization of Hydrogen‐Rich Syngas Production by Greenhouse Gases Reforming

Chemical Engineering & Technology ◽

10.1002/ceat.201900475 ◽

2020 ◽

Vol 43 (4) ◽

pp. 742-751 ◽

Cited By ~ 1

Author(s):

Alyaa K. Mageed ◽

Bamidele Victor Ayodele ◽

Siti Indati Mustapa

Keyword(s):

Greenhouse Gases ◽

Response Surface ◽

Syngas Production ◽

Response surface optimization for high-performance solid-phase crystallized silicon-germanium thin film transistors

10.1117/12.270286 ◽

1997 ◽

Cited By ~ 1

Author(s):

Vivek Subramanian ◽

Krishna C. Saraswat ◽

Howard Hovagimian ◽

John C. Mehlhaff

Keyword(s):

Thin Film ◽

Response Surface ◽

Silicon Germanium ◽

Thin Film Transistors ◽

High Performance ◽

Solid Phase ◽

High-performance gas-phase adsorption of benzene and toluene on activated carbon: response surface optimization, reusability, equilibrium, kinetic, and competitive adsorption studies

Environmental Science and Pollution Research ◽

10.1007/s11356-020-08848-4 ◽

2020 ◽

Vol 27 (21) ◽

pp. 26191-26210 ◽

Cited By ~ 12

Author(s):

Orhan Baytar ◽

Ömer Şahin ◽

Sabit Horoz ◽

Sinan Kutluay

Keyword(s):

Activated Carbon ◽

Response Surface ◽

Gas Phase ◽

High Performance ◽

Competitive Adsorption ◽

Adsorption Studies ◽

Gas Phase Adsorption ◽

Determination of Flavonoids in Magnolia officinalis Leaves Based on Response Surface Optimization of Infrared Assisted Extraction Followed by High-Performance Liquid Chromatography (HPLC)

Analytical Letters ◽

10.1080/00032719.2020.1732401 ◽

2020 ◽

Vol 53 (13) ◽

pp. 2145-2159

Author(s):

Guoying Huang ◽

Mingxiao Zhang ◽

Jiaxing Sun ◽

Yuqi Bai ◽

Ling Li ◽

...

Keyword(s):

High Performance Liquid Chromatography ◽

Liquid Chromatography ◽

Response Surface ◽

High Performance ◽

Assisted Extraction ◽

Surface Optimization ◽

Magnolia Officinalis

Response Surface Optimization of Impregnation of Blended Amines into Mesoporous Silica for High-Performance CO2 Capture

Energy & Fuels ◽

10.1021/ef502656t ◽

2015 ◽

Vol 29 (2) ◽

pp. 985-992 ◽

Cited By ~ 13

Author(s):

Duc Sy Dao ◽

Hidetaka Yamada ◽

Katsunori Yogo

Keyword(s):

Mesoporous Silica ◽

Response Surface ◽

Co2 Capture ◽

High Performance ◽

Preparation and evaluation of self‐healing microcapsules for asphalt based on response surface optimization

Journal of Applied Polymer Science ◽

10.1002/app.51430 ◽

2021 ◽

pp. 51430

Author(s):

Jia Li ◽

Xiaoping Ji ◽

Zhennong Tang ◽

Yonglin Hu ◽

Wenlong Hua

Keyword(s):

Response Surface ◽

Self Healing ◽

Surface Optimization ◽

Preparation And Evaluation

Response surface optimization of mixed substrate solid state fermentation for the production of lovastatin byMonascus purpureus

Engineering in Life Sciences ◽

10.1002/elsc.200900022 ◽

2009 ◽

Vol 9 (4) ◽

pp. 303-310 ◽

Cited By ~ 11

Author(s):

Seraman Subhagar ◽

Rajendran Aravindan ◽

Thangavelu Viruthagiri

Keyword(s):

Solid State ◽

Response Surface ◽

Solid State Fermentation ◽

Mixed Substrate ◽

Nanofiltration desalination of reverse osmosis concentrate pretreated by advanced oxidation with ultrafiltration: response surface optimization and exploration of membrane fouling

Journal of Environmental Chemical Engineering ◽

10.1016/j.jece.2021.106340 ◽

2021 ◽

pp. 106340

Author(s):

Wanchao Song ◽

Na Li ◽

Shaoxuan Ding ◽

Xiaoyan Wang ◽

Huawei Li ◽

...

Keyword(s):

Response Surface ◽

Reverse Osmosis ◽

Membrane Fouling ◽

Advanced Oxidation ◽

Quercetin extraction from Rosa damascena Mill via supercritical CO2: Neural network and adaptive neuro fuzzy interface system modeling and response surface optimization

The Journal of Supercritical Fluids ◽

10.1016/j.supflu.2016.02.006 ◽

2016 ◽

Vol 112 ◽

pp. 57-66 ◽

Cited By ~ 11

Author(s):

S.M. Ghoreishi ◽

Ali Hedayati ◽

S.O. Mousavi

Keyword(s):

Neural Network ◽

Response Surface ◽

Supercritical Co2 ◽

System Modeling ◽

Rosa Damascena ◽

Neuro Fuzzy ◽

Interface System ◽

Response surface optimization and quality prediction of high pressure processed sugarcane juice (Saccharum officinarum)

LWT ◽

10.1016/j.lwt.2021.112190 ◽

2021 ◽

pp. 112190

Author(s):

P. Sreedevi ◽

Lakshmi E. Jayachandran ◽

P. Srinivasa Rao

Keyword(s):

High Pressure ◽

Response Surface ◽

Saccharum Officinarum ◽

Sugarcane Juice ◽

Quality Prediction ◽