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1 - 10 of 12 Results

A world-leading researcher in solid electrolytes and sophisticated electron microscopy methods received Oak Ridge National Laboratoryâs top science honor today for her work in developing new materials for batteries. The announcement was made during a livestreamed Directorâs Awards event hosted by ORNL Director Thomas Zacharia.

A team led by the U.S. Department of Energyâs Oak Ridge National Laboratory demonstrated the viability of a âquantum entanglement witnessâ capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.

A team from ORNL, Stanford University and Purdue University developed and demonstrated a novel, fully functional quantum local area network, or QLAN, to enable real-time adjustments to information shared with geographically isolated systems at ORNL

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

Deborah Frincke, one of the nationâs preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNLâs National Security Science Directorate. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

At the Department of Energyâs Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.

The Department of Energyâs Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.

The Accelerating Therapeutics for Opportunities in Medicine , or ATOM, consortium today announced the U.S. Department of Energyâs Oak Ridge, Argonne and Brookhaven national laboratories are joining the consortium to further develop ATOMâs artificial intelligence, or AI-driven, drug discovery platform.

To better understand the spread of SARS-CoV-2, the virus that causes COVID-19, Oak Ridge National Laboratory researchers have harnessed the power of supercomputers to accurately model the spike protein that binds the novel coronavirus to a human cell receptor.

A multi-institutional team became the first to generate accurate results from materials science simulations on a quantum computer that can be verified with neutron scattering experiments and other practical techniques.