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Media Contacts
It’s common knowledge that driving aggressively can dent gas mileage, but it’s difficult to determine exactly how much gas drivers waste. A new study by researchers at the Department of Energy’s Oak Ridge National Laboratory has quantified the impact speeding and slamming on the brakes has on fuel economy and consumption. They found that aggressive behavior behind the wheel can lower gas mileage in light-duty vehicles by about 10 to 40 percent in stop-and-go traffic and roughly 15 to 30 percent at highway speeds. This can equate to losing about $0.25 to $1 per gallon.
The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...
A new integrated computational model reduces uncertainty in climate predictions by bridging Earth systems with energy and economic models and large-scale human impact data. Co-developed by Oak Ridge National Laboratory, the novel integrated Earth system model, or iESM, leverages the power of supercomputers, including ORNL’s Titan, to couple biospheric feedbacks from oceans, atmosphere and land with human activity, such as fossil fuel emissions, agriculture and land use.
Oak Ridge National Laboratory today welcomed the first cohort of innovators to join Innovation Crossroads, the Southeast region's first entrepreneurial research and development program based at a U.S. Department of Energy national laboratory. Innovation Crossroads, ...
Virginia-based Lenvio Inc. has exclusively licensed a cyber security technology from the Department of Energy’s Oak Ridge National Laboratory that can quickly detect malicious behavior in software not previously identified as a threat.
In a first for deep learning, an Oak Ridge National Laboratory-led team is bringing together quantum, high-performance and neuromorphic computing architectures to address complex issues that, if resolved, could clear the way for more flexible, efficient technologies in intelligent computing.