Scientists at Oak Ridge National Laboratory have developed a low-cost, printed, flexible sensor that can wrap around power cables to precisely monitor electrical loads from household appliances to support grid operations.
Oak Ridge National Laboratory scientists have created open source software that scales up analysis of motor designs to run on the fastest computers available, including those accessible to outside users at the Oak Ridge Leadership Computing Facility.
A team of scientists led by Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
As home to three top-ranked supercomputers of the last decade, the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory (ORNL) has become synonymous with scientific computing at the largest scales.
With more vehicles in use worldwide than ever before, engine makers are competing to deliver cleaner, more efficient engines at affordable prices.
Researchers at the Department of Energy’s Oak Ridge National Laboratory have received six R&D 100 Awards in recognition of their significant advancements in science and technology.
Oak Ridge National Laboratory scientists have devised a method to control the heating and cooling systems of a large network of buildings for power grid stability—all while ensuring the comfort of occupants.
This article is part of a series of stories covering the finalists for the 2018 Gordon Bell Prize that used the Summit supercomputer.
In a project leveraging computer vision, machine learning, and sensors, Oak Ridge National Laboratory scientists are working with private company GRIDSMART Technologies, Inc.
Biorefinery facilities are critical to fueling the economy—converting wood chips, grass clippings, and other biological materials into fuels, heat, power, and chemicals.