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In a first for deep learning, an Oak Ridge National Laboratory-led team is bringing together quantum, high-performance and neuromorphic computing architectures to address complex issues that, if resolved, could clear the way for more flexible, efficient technologies in intelligent computing.
Researchers have long sought electrically conductive materials for economical energy-storage devices. Two-dimensional (2D) ceramics called MXenes are contenders. Unlike most 2D ceramics, MXenes have inherently good conductivity because they are molecular sheets made from the carbides ...
Oak Ridge National Laboratory has successfully developed and tested a novel sand casting technique to quickly design complex patterns to fabricate components for industry partner Emrgy Hydro, makers of hydropower devices designed to generate electricity from slow or shallow water flo...
Barely wider than a strand of human DNA, magnetic nanoparticles—such as those made from iron and platinum atoms—are promising materials for next-generation recording and storage devices like hard drives. Building these devices from nanoparticles should increase storage capaci...