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The effects of number of beds, PSA cycle configuration and various operating and design parameters on the separation quality and power requirements have been systematically optimized using recent advances on process optimization.
Derivatization was systematically optimized by employing a factorial experimental design.
Although RLM currently provides sufficient spatial resolution and sensitivity for cell imaging, it has not been systematically optimized.
The BHJ morphology was systematically optimized by additives, thermal annealing (TA) and solvent vapor annealing (SVA).
The batch reaction conditions for the synthesis of l-Tle were systematically optimized.
The growth conditions were systematically optimized with the help of computational flow-field simulation.
The BHJ morphology was systematically optimized by thermal annealing, solvent vapor annealing, and the use of solvent additives.
Secondly, Kinetics of degradation was systematically optimized by multi variable central composite design based on response surface method.
The parameters controlling the coating appearance and property, (e.g. amount of TiO2 sol, electroless plating time and amount of GO) were systematically optimized.
The effects of the operation parameters, such as current density, supporting electrolyte, pH, air flow rate, and phenol concentration, on phenol removal were systematically optimized.
The U-type parallel channels for large size planar solid oxide fuel cell (pSOFC) are systematically optimized with the computational fluid dynamics (CFD) method.
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