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Media Contacts
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
Belinda Akpa is a chemical engineer with a talent for tackling big challenges and fostering inclusivity and diversity in the next generation of scientists.
The Department of Energy’s 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.
Esther Parish is one of eight scientists from the Department of Energy's Oak Ridge National Laboratory talking to students in nine schools across East Tennessee as part of National Environmental Education Week, or EE Week.
In his career focused on energy storage science, Jianlin Li has learned that discovering new ways to process and assemble batteries is just as important as the development of new materials.
From Denmark to Japan, the UK, France, and Sweden, physicist Ken Andersen has worked at neutron sources around the world. With significant contributions to neutron scattering and the scientific community, he’s now serving in his most important role yet.
Through a consortium of Department of Energy national laboratories, ORNL scientists are applying their expertise to provide solutions that enable the commercialization of emission-free hydrogen fuel cell technology for heavy-duty
Toward the goal of bringing the next generation of nuclear power reactor technology online this decade, ORNL and Analysis and Measurement Services Corporation have successfully completed loop testing of instrument and control sensors for an advanced reactor design for small modular reactors.
The U.S. Department of Energy’s Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program is seeking proposals for high-impact, computationally intensive research campaigns in a broad array of science, engineering and computer science domains.
Rich Giannone uses bioanalytical mass spectrometry to examine proteins, the primary driver in biological systems.