![ORNL researchers produced self-healable and highly adhesive elastomers, proving they self-repair in ambient conditions and underwater. This project garnered a 2021 R&D 100 Award. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-10/Unbreakable-bond-copy.jpg?h=cd715a88&itok=cQeEYNZn)
Research teams from the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2021 R&D 100 Awards, plus special recognition for a COVID-19-related project.
Research teams from the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2021 R&D 100 Awards, plus special recognition for a COVID-19-related project.
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
The daily traffic congestion along the streets and interstate lanes of Chattanooga could be headed the way of the horse and buggy with help from ORNL researchers.
A team led by Oak Ridge National Laboratory scientists will receive a $6 million federal grant to design a more efficient form of artificial intelligence that fits on a microchip.
A multidisciplinary team of scientists at ORNL has applied a laser-interference structuring, or LIS, technique that makes significant strides toward eliminating the need for hazardous chemicals in corrosion protection for vehicles.
Of the $61 million recently announced by the U.S. Department of Energy for quantum information science studies, $17.5 million will fund research at DOE’s Oak Ridge National Laboratory.
An international problem like climate change needs solutions that cross boundaries, both on maps and among disciplines. Oak Ridge National Laboratory computational scientist Deeksha Rastogi embodies that approach.
One year into its existence, the Quantum Science Center has led the way to new scientific breakthroughs, generated 61 peer-reviewed publications, released eight invention disclosures, and kicked off a poster session a
A team of scientists led by ORNL’s Gautam Thakur has developed a new scientific method to screen human data annotators for bias, ensuring high-quality data inputs for machine learning tasks.
Improved data, models and analyses from ORNL scientists and many other researchers in the latest global climate assessment report provide new levels of certainty about what the future holds for the planet