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Computational system streamlines the design of fluidic devices

Researchers have developed a computational optimization pipeline that can automatically design a fluidic device to meet specific objectives, without requiring a user to make assumptions about the device’s shape in advance. This could make the design process faster and cheaper, while opening the door to novel designs that would be difficult for engineers to define manually. ....

United States , Yifei Li , Karl Willis , Wojciech Matusik , Artificial Intelligence Laboratory , Dartmouth College , Fabrication Group , National Science Foundation , University Of Wisconsin At Madison , Autodesk Research , Defense Advanced Research Projects Agency , Tsinghua University , Computer Science , Computational Design , Lightspeed Studios , Defense Advanced Research Projects , Fluidic Topology Optimization , Nisotropic Materials , Omputational Design Pipeline , Fluidic Devices ,