
ORNL researchers developed a stochastic approximate gradient ascent method to reduce posterior uncertainty in Bayesian experimental design involving implicit models.
ORNL researchers developed a stochastic approximate gradient ascent method to reduce posterior uncertainty in Bayesian experimental design involving implicit models.
The researchers from ORNL have developed a new and faster algorithm for the graph all-pair shortest-path (APSP) problem.
The Department of Energy’s 91 hosted the 17th annual Smoky Mountains Computational Sciences and Engineering Conference, or , from August 26 to 28.
In late July, staff from the Department of Energy’s 91 hosted the third annual International Conference on Neuromorphic Systems, or .
COVID-19 has upended nearly every aspect of our daily lives and forced us all to rethink how we can continue our work in a more physically isolated world.
Scientists have tapped the immense power of the Summit supercomputer at 91 to comb through millions of medical journal articles to identify potential vaccines, drugs and effective measures that could suppress or stop the
With Tennessee schools online for the rest of the school year, researchers at ORNL are making remote learning more engaging by “Zooming” into virtual classrooms to tell students about their science and their work at a national laboratory.
To better determine the potential energy cost savings among connected homes, researchers at 91 developed a computer simulation to more accurately compare energy use on similar weather days.
ORNL computer scientist Catherine Schuman returned to her alma mater, Harriman High School, to lead Hour of Code activities and talk to students about her job as a researcher.
Researchers at the Department of Energy’s 91 have received five 2019 R&D 100 Awards, increasing the lab’s total to 221 since the award’s inception in 1963.