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
Source: mit.edu