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Selen Cremaschi
Titolo
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Anno
Adaptive sequential sampling for surrogate model generation with artificial neural networks
J Eason, S Cremaschi
Computers & Chemical Engineering 68, 220-232, 2014
2562014
Optimization of CO2 capture process with aqueous amines using response surface methodology
A Nuchitprasittichai, S Cremaschi
Computers & chemical engineering 35 (8), 1521-1531, 2011
1432011
Process synthesis of biodiesel production plant using artificial neural networks as the surrogate models
I Fahmi, S Cremaschi
Computers & Chemical Engineering 46, 105-123, 2012
1212012
A perspective on process synthesis: Challenges and prospects
S Cremaschi
Computers & Chemical Engineering 81, 130-137, 2015
792015
An algorithm to determine sample sizes for optimization with artificial neural networks
A Nuchitprasittichai, S Cremaschi
AIChE Journal 59 (3), 805-812, 2013
672013
Optimization of CO2 Capture Process with Aqueous AminesA Comparison of Two Simulation–Optimization Approaches
A Nuchitprasittichai, S Cremaschi
Industrial & Engineering Chemistry Research 52 (30), 10236-10243, 2013
572013
Design and optimization of artificial cultivation units for algae production
S Yadala, S Cremaschi
Energy 78, 23-39, 2014
552014
Efficient surrogate model development: impact of sample size and underlying model dimensions
SE Davis, S Cremaschi, MR Eden
Computer Aided Chemical Engineering 44, 979-984, 2018
502018
Heuristic solution approaches to the pharmaceutical R&D pipeline management problem
B Christian, S Cremaschi
Computers & Chemical Engineering 74, 34-47, 2015
462015
Solids transport models comparison and fine‐tuning for horizontal, low concentration flow in single‐phase carrier fluid
FB Soepyan, S Cremaschi, C Sarica, HJ Subramani, GE Kouba
AIChE Journal 60 (1), 76-122, 2014
462014
Sensitivity of amine-based CO2 capture cost: The influences of CO2 concentration in flue gas and utility cost fluctuations
A Nuchitprasittichai, S Cremaschi
International Journal of Greenhouse Gas Control 13, 34-43, 2013
402013
Experimental Study of Low Concentration Sand Transport in Multiphase Air–Water Horizontal Pipelines
K Najmi, AL Hill, BS McLaury, SA Shirazi, S Cremaschi
Journal of Energy Resources Technology 137 (032908), 1 - 10, 2015
382015
Surrogate model selection for design space approximation and surrogatebased optimization
BA Williams, S Cremaschi
Computer aided chemical engineering 47, 353-358, 2019
342019
Data-driven model development for cardiomyocyte production experimental failure prediction
B Williams, C Halloin, W Löbel, F Finklea, E Lipke, R Zweigerdt, ...
Computer aided chemical engineering 48, 1639-1644, 2020
332020
Selection of surrogate modeling techniques for surface approximation and surrogate-based optimization
B Williams, S Cremaschi
Chemical Engineering Research and Design 170, 76-89, 2021
302021
CFD-based optimization of a flooded bed algae bioreactor
JD Smith, AA Neto, S Cremaschi, DW Crunkleton
Industrial & Engineering Chemistry Research 52 (22), 7181-7188, 2013
292013
Efficient surrogate model development: optimum model form based on input function characteristics
SE Davis, S Cremaschi, MR Eden
Computer Aided Chemical Engineering 40, 457-462, 2017
282017
Threshold velocity to initiate particle motion in horizontal and near-horizontal conduits
FB Soepyan, S Cremaschi, BS McLaury, C Sarica, HJ Subramani, ...
Powder technology 292, 272-289, 2016
252016
A dynamic optimization model for designing open-channel raceway ponds for batch production of algal biomass
S Yadala, S Cremaschi
Processes 4 (2), 10, 2016
252016
Artificial lift infrastructure planning for shale gas producing horizontal wells
Z Zeng, S Cremaschi
Proceedings of the FOCAPO/CPC, Tuscan, AZ, USA 8, 12, 2017
202017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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