91°µÍø

Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.

While studying how bio-inspired materials might inform the design of next-generation computers, scientists at ORNL achieved a first-of-its-kind result that could have big implications for both edge computing and human health.

91°µÍø researchers are developing a first-of-its-kind artificial intelligence device for neutron scattering called Hyperspectral Computed Tomography, or HyperCT.

More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.

An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.

At the Department of Energy’s 91°µÍø, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.

Research by an international team led by Duke University and the Department of Energy’s 91°µÍø scientists could speed the way to safer rechargeable batteries for consumer electronics such as laptops and cellphones.

In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s 91°µÍø are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.