Robert Hettich: Decoding biological complexity with next-gen mass spectrometry
A precision approach to treating snow- and ice-covered roads, developed by an Oak Ridge National Laboratory-led research team, aims to help cities effectively allocate resources and expand coverage on roadways. The combined software and hardware technology analyzes existing city data and uses high-resolution modeling to identify areas most vulnerable to drivers during hazardous weather conditions.
Geospatial scientists at Oak Ridge National Laboratory have developed a novel method to quickly gather building structure datasets that support emergency response teams assessing properties damaged by Hurricanes Harvey and Irma. By coupling deep learning with high-performance comp...
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 team of researchers from Oak Ridge National Laboratory has been awarded nearly $2 million over three years from the Department of Energy to explore the potential of machine learning in revolutionizing scientific data analysis. The Advances in Machine Learning to Improve Scient...
Qubitekk has non-exclusively licensed an Oak Ridge National Laboratory-developed method to produce quantum light particles, known as photons, in a controlled, deterministic manner that promises improved speed and security when sharing encrypted data.
Current encr...
In the quest to better understand and cure childhood diseases, scientists at St. Jude Children’s Research Hospital accumulate enormous amounts of data from powerful video microscopes. To help St. Jude scientists mine that trove of data, researchers at Oak Ridge National Laboratory hav...
Oak Ridge National Laboratory has partnered with the Department of Veterans Affairs to develop methods and algorithms to mine the VA’s health data more efficiently. The resulting novel, secure platform promises to improve the health and wellbeing of millions of veterans through better understanding of underlying causes of diseases and conditions, hereditary factors and health history.
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.
The Tennessee Higher Education Commission has approved a new doctoral program in data science and engineering as part of the Bredesen Center for Interdisciplinary Research and Graduate Education.
The Bredesen Center unites resources and capabilities from the Universi...
Thomas Watkins, a researcher at the Department of Energy's Oak Ridge National Laboratory, has been elected fellow of the International Centre for Diffraction Data.