Inverse Design of Inflatable Soft Membranes Through Machine Learning

Abstract "Across fields of science, researchers have increasingly focused on designing soft devices that can shape-morph to achieve functionality. However, identifying a rest shape that leads to a target 3D shape upon actuation is a non-trivial task that involves inverse design capabilities. In this study, a simple and efficient platform is presented to design pre-programmed 3D shapes starting... » read more

System Bits: April 8

Computers trained to design materials Researchers in the University of Missouri’s College of Engineering are applying deep learning technology to educate high-performance computers in the field of materials science, with the goal of having those computers design billions of potential materials. “You can train a computer to do what it would take many years for people to otherwise do,” ... » read more