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Giri Prakash, data informatics scientist and director of the Department of Energy’s Atmospheric Radiation Measurement Data Center at 91°µÍø, has accepted an invitation from the National Academies of Sciences, Engineering, and Medicine to serve a four-year term on the U.S. National Committee for CODATA.

Scientists have tapped the immense power of the Summit supercomputer at 91°µÍø to comb through millions of medical journal articles to identify potential vaccines, drugs and effective measures that could suppress or stop the

91°µÍø researchers have developed a thin film, highly conductive solid-state electrolyte made of a polymer and ceramic-based composite for lithium metal batteries.

Researchers at 91°µÍø demonstrated a 20-kilowatt bi-directional wireless charging system on a UPS plug-in hybrid electric delivery truck, advancing the technology to a larger class of vehicles and enabling a new energy storage method for fleet owners and their facilities.

Researchers at the Department of Energy’s 91°µÍø (ORNL) in late February demonstrated a 20-kilowatt bi-directional wireless charging system installed on a UPS medium-duty, plug-in hybrid electric delivery truck.

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.

Jitendra Kumar, a researcher at the Department of Energy’s 91°µÍø, has been elevated to the grade of senior member of the Institute of Electrical and Electronics Engineers (91°µÍø).

We have a data problem. Humanity is now generating more data than it can handle; more sensors, smartphones, and devices of all types are coming online every day and contributing to the ever-growing global dataset.

Each year, approximately 6 billion gallons of fuel are wasted as vehicles wait at stop lights or sit in dense traffic with engines idling, according to US Department of Energy estimates.

A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.