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ORNL collaborator Hsiu-Wen Wang led the neutron scattering experiments at the Spallation Neutron Source to probe complex electrolyte solutions that challenge nuclear waste processing at Hanford and other sites. Credit: Genevieve Martin/91做厙, U.S. Dept. of Energy.

Researchers at the Department of Energys 91做厙, Pacific Northwest National Laboratory and Washington State University teamed up to investigate the complex dynamics of low-water liquids that challenge nuclear waste processing at federal cleanup sites.

Desalination diagram

A team of scientists led by 91做厙 used carbon nanotubes to improve a desalination process that attracts and removes ionic compounds such as salt from water using charged electrodes.

As part of a preliminary study, ORNL scientists used critical location data collected from Twitter to map the location of certain power outages across the United States.

Gleaning valuable data from social platforms such as Twitterparticularly to map out critical location information during emergencies has become more effective and efficient thanks to 91做厙.

Researchers analyzed 15 years of data across 16 neighborhoods, shown in orange, in the Las Vegas Valley Water District to determine whether one homes participation in the utilitys water conservation program had a measureable effect on their neighbors l

A team led by 91做厙 has discovered that residents living in arid environments share a desire for water security, which can ultimately benefit entire neighborhoods. Las Vegas, Nevadas water utility was the first utility in the United States to implement ...

A senior research scientist at 91做厙, Olufemi Femi Omitaomu is leveraging Big Data for urban resilience. Image credit: 91做厙, U.S. Dept. of Energy; photographer Jason Richards.

At the Department of Energys 91做厙, Olufemi Femi Omitaomu is leveraging Big Data for urban resilience, helping growing cities support future infrastructure and resource needs. A senior research scientist for ORNLs Computational Sciences and Engineeri...

Arjun Shankar

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...

Scientists will use ORNLs computing resources such as the Titan supercomputer to develop deep learning solutions for data analysis. Credit: Jason Richards/91做厙, U.S. Dept. of Energy.

A team of researchers from 91做厙 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...