Machine learning for morphable materials

Jan 12, 2022 (Nanowerk News) Flat materials that can morph into three-dimensional shapes have potential applications in architecture, medicine, robotics, space travel, and much more. But programming these shape changes requires complex and time-consuming computations. Now, researchers from the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS)...