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In the present work we combine constraint based modeling, Design of Experiments (DoE) and Global Sensitivity Analysis (GSA) into the Thermodynamics-based Metabolite Sensitivity Analysis (TMSA) method.
The development approach utilizes reaction kinetic modeling, design of experiment, and neural network analysis to establish a quantitative basis for specification of process operating ranges.
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We present a scheme for best practices in selecting, implementing, interpreting, and reporting of fish modeling designed to assess the effects of restoration actions on fish populations and aquatic food webs.
This review presents the general mathematical framework of modeling, design and optimization of hydrogen storage using advanced solid materials.
This paper further investigates the influence of eddy current damping on energy dissipation due to friction through modeling, design, and testing of a proof-of-concept prototype damper.
Such information may be useful for modeling, design, and optimization of optical properties of OLEDs.
This study is important for modeling, design, and operation of landfill leachate treatment systems and determination of discharge limits.
Residence time distributions are required for modeling, design and optimization of chemical and biochemical multiphase reactors.
In this paper, we cover the modeling, design and fabrication of the μHexFlex.
Residence time distribution (RTD) is required for modeling, design and optimization of jet-entrained gasifier.
This powerful mathematical framework has gained momentum in recent years as the only available tool that provides a rigorous approach for modeling, design and analysis of a multi-tier network topologies [1, 4, 28 30, 33, 35, 55, 72, 79 85].
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