![Sphere that has the top right fourth removed (exposed) Colors from left are orange, dark blue with orange dots, light blue with horizontal lines, then black. Inside the exposure is green and black with boxes.](/sites/default/files/styles/featured_square_large/public/2024-06/slicer.jpg?h=56311bf6&itok=bCZz09pJ)
Updated software improves slicing for large-format 3D printing
A team of researchers from the Department of Energy’s Oak Ridge National Laboratory has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training of deep learning networks on the
A novel approach that creates a renewable, leathery material—programmed to remember its shape—may offer a low-cost alternative to conventional conductors for applications in sensors and robotics. To make the bio-based, shape-memory material, Oak Ridge National Laboratory scientists streamlined a solvent-free process that mixes rubber with lignin—the by-product of woody plants used to make biofuels.