Abstract: Methods and systems for fabricating micro-fluidic devices include determining a target cost function value based device design parameters. The performance of one or more chosen design candidates is simulated in a selected simulation model. A design candidate is identified with a cost function value closest to the target cost function value as a best initial design candidate. Design parameters of the best initial design candidate are iteratively modified to provide a modified design candidate having design parameters differing from the design parameters of the best initial design candidate, a cost function value is iteratively calculated for the modified initial design candidate, and optimized device design parameters are iteratively derived from a modified design candidate, until a computed cost function value for the modified design candidate meets the determined target cost function value.

Abstract: Methods and systems for fabricating micro-fluidic devices include determining a target cost function value based device design parameters. The performance of one or more chosen design candidates is simulated in a selected simulation model. A design candidate is identified with a cost function value closest to the target cost function value as a best initial design candidate. Design parameters of the best initial design candidate are iteratively modified to provide a modified design candidate having design parameters differing from the design parameters of the best initial design candidate, a cost function value is iteratively calculated for the modified initial design candidate, and optimized device design parameters are iteratively derived from a modified design candidate, until a computed cost function value for the modified design candidate meets the determined target cost function value.

Abstract: Described herein is a method of designing micro-fluidic devices. A target cost function based on device design parameters is chosen. The performance of one or more design candidates is run in a simulation model. A design candidate with a cost function closest to the target cost function is chosen and modified in an optimization routine to provide a modified design candidate having modified device design parameters. The cost function for the modified initial design candidate is computed, and when the modified design candidate has a computed cost function that meets the target cost function, optimized device design parameters of an optimized device design are obtained. Additional optimization iterations may be performed as needed to arrive at an optimized device design. A micro-fluidic device based on the optimized device design is manufactured.

Abstract: Described herein is a method of designing micro-fluidic devices. A target cost function based on device design parameters is chosen. The performance of one or more design candidates is run in a simulation model. A design candidate with a cost function closest to the target cost function is chosen and modified in an optimization routine to provide a modified design candidate having modified device design parameters. The cost function for the modified initial design candidate is computed, and when the modified design candidate has a computed cost function that meets the target cost function, optimized device design parameters of an optimized device design are obtained. Additional optimization iterations may be performed as needed to arrive at an optimized device design. A micro-fluidic device based on the optimized device design is manufactured.