All articles tagged with #3d structures
Researchers at MIT have developed a new kirigami-inspired material that can transform into various 3D structures with a simple pull of a string, enabling applications like medical devices, foldable robots, and space habitats. The process uses an algorithm to design flat grids that morph into complex shapes, demonstrating ease of use and potential for scalable deployment.
MIT researchers have developed a method to transform flat, interconnected tiles into complex 3D structures with a single pull of a string, enabling rapid deployment of structures like emergency shelters, medical devices, or space habitats, with potential for scalable and reversible applications.
Researchers have developed a novel approach to analyze protein structures by integrating pre-trained protein language models into geometric deep learning networks. By bridging the gap between 1D sequence understanding and 3D structure comprehension, the researchers harnessed the insights from protein language models to enhance the capabilities of geometric neural networks. This fusion allows for a comprehensive analysis of protein structures, promising to illuminate new realms of understanding in molecular biology.
Researchers have used advanced computing to solve a decades-long mystery about the potential for optical waves to be trapped in three-dimensional structures of randomly packed micro- or nanoparticles. The study found that light can be trapped or “localized” in random packings of metallic spheres, paving the way for potential developments in lasers and photocatalysts. The research opens new possibilities for enhancing optical nonlinearities, light-matter interactions, and controlling random lasing as well as targeted energy deposition.