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Abstract
When complex flow structures are designed, such as in DNA computing, it is essential to be able to predict the flow pattern of the solutions in the fluidic network. A model based on the resistance of the channels and flow velocities of the inlets can eliminated re-iterative design steps. We have constructed a symbolic model using Mathematica ® to determine the desired flow pattern based on the equations of Ohm and Kirchoff. The values from this simulation were used in a flow simulation program and then tested in a microflow network. Results show that the simulation and calculation match very well, while the experiments in the fluidic network show a flow pattern as predicted by the model.
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Danny Van Noort
Present address: School of Computer Science and Engineering Seoul National University, San 56-1, Sinlim-dong, Seoul, 151-742, Korea
Authors and Affiliations
Department of Ecology and Evolutionary Biology, Guyot Hall, Princeton University, Princeton, 08544, NJ, USA
Danny Van Noort
Biomolecular Information Processing, Ruhr-Universität Bochum c/o Fraunhofer Institutszentrum Schloss Birlinghoven, D-53754, Sankt Augustin, Germany
John S. Mccaskill
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Noort, D.V., Mccaskill, J.S. Flows in micro fluidic networks: From theory to experiment.Nat Comput3, 395–410 (2004). https://doi.org/10.1007/s11047-004-2667-2
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