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Dr. Mario Richard Eden
Dr. Mario Richard Eden
Dean of Engineering and McMillan Professor of Chemical Engineering, Auburn University
Bestätigte E-Mail-Adresse bei auburn.edu
Titel
Zitiert von
Zitiert von
Jahr
Toward the development and deployment of large-scale carbon dioxide capture and conversion processes
Z Yuan, MR Eden, R Gani
Industrial & Engineering Chemistry Research 55 (12), 3383-3419, 2016
2982016
A novel framework for simultaneous separation process and product design
MR Eden, SB Jørgensen, R Gani, MM El-Halwagi
Chemical Engineering and Processing: Process Intensification 43 (5), 595-608, 2004
2152004
Formation lithology classification using scalable gradient boosted decision trees
VA Dev, MR Eden
Computers & chemical engineering 128, 392-404, 2019
2142019
Optimal biorefinery product allocation by combining process and economic modeling
NE Sammons Jr, W Yuan, MR Eden, B Aksoy, HT Cullinan
Chemical Engineering Research and Design 86 (7), 800-808, 2008
1322008
Property integration: componentless design techniques and visualization tools
MM El‐Halwagi, IM Glasgow, X Qin, MR Eden
AIChE Journal 50 (8), 1854-1869, 2004
1322004
Fuzzy optimization approach for the synthesis of a sustainable integrated biorefinery
DHS Tay, DKS Ng, NE Sammons Jr, MR Eden
Industrial & Engineering Chemistry Research 50 (3), 1652-1665, 2011
1282011
A computer-aided software-tool for sustainable process synthesis-intensification
AK Tula, DK Babi, J Bottlaender, MR Eden, R Gani
Computers & Chemical Engineering 105, 74-95, 2017
1132017
Biomass Gasification Using Carbon Dioxide: Effect of Temperature, CO2/C Ratio, and the Study of Reactions Influencing the Process
N Sadhwani, S Adhikari, MR Eden
Industrial & Engineering Chemistry Research 55 (10), 2883-2891, 2016
1132016
An architecture of deep learning in QSPR modeling for the prediction of critical properties using molecular signatures
Y Su, Z Wang, S Jin, W Shen, J Ren, MR Eden
AIChE Journal 65 (9), e16678, 2019
972019
Simultaneous process and molecular design—A property based approach
FT Eljack, MR Eden, V Kazantzi, X Qin, MM El‐Halwagi
AIChE Journal 53 (5), 1232-1239, 2007
962007
A flexible framework for optimal biorefinery product allocation
N Sammons Jr, M Eden, W Yuan, H Cullinan, B Aksoy
Environmental Progress 26 (4), 349-354, 2007
952007
OptCAMD: An optimization-based framework and tool for molecular and mixture product design
Q Liu, L Zhang, L Liu, J Du, AK Tula, M Eden, R Gani
Computers & Chemical Engineering 124, 285-301, 2019
932019
Process synthesis, design and analysis using a process-group contribution method
AK Tula, MR Eden, R Gani
Computers & Chemical Engineering 81, 245-259, 2015
832015
Stakeholder-oriented multi-objective process optimization based on an improved genetic algorithm
Y Su, S Jin, X Zhang, W Shen, MR Eden, J Ren
Computers & Chemical Engineering 132, 106618, 2020
812020
Woody biomass and mill waste utilization opportunities in Alabama: Transportation cost minimization, optimum facility location, economic feasibility, and impact
B Aksoy, H Cullinan, D Webster, K Gue, S Sukumaran, M Eden, ...
Environmental Progress & Sustainable Energy 30 (4), 720-732, 2011
782011
Gradient boosted decision trees for lithology classification
VA Dev, MR Eden
Computer aided chemical engineering 47, 113-118, 2019
762019
Southern pines char gasification with CO2—Kinetics and effect of alkali and alkaline earth metals
N Sadhwani, S Adhikari, MR Eden, Z Wang, R Baker
Fuel Processing Technology 150, 64-70, 2016
712016
A novel methodology for property-based molecular design using multiple topological indices
NG Chemmangattuvalappil, MR Eden
Industrial & Engineering Chemistry Research 52 (22), 7090-7103, 2013
682013
Simultaneous process and molecular design through property clustering techniques: a visualization tool
V Kazantzi, X Qin, M El-Halwagi, F Eljack, M Eden
Industrial & Engineering Chemistry Research 46 (10), 3400-3409, 2007
672007
Computer aided chemical product design–ProCAPD and tailor-made blended products
S Kalakul, L Zhang, Z Fang, HA Choudhury, S Intikhab, N Elbashir, ...
Computers & Chemical Engineering 116, 37-55, 2018
662018
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