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Oak Ridge National Laboratory’s Summit supercomputer was named No. 1 on the TOP500 List, a semiannual ranking of the world’s fastest computing systems. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy.

The US Department of Energy’s Oak Ridge National Laboratory is once again officially home to the fastest supercomputer in the world, according to the TOP500 List, a semiannual ranking of the world’s fastest computing systems.

Amy Moore is a postdoctoral researcher in the Transportation Planning and Decision Science Group at ORNL.

Amy Moore has found that her pursuit of several degrees and certificates in a variety of subjects is serving her well as she uses her expertise in transportation planning, geographic information science, and information technology to develop intelligent mobility solutions at ORNL. ...

Oak Ridge National Laboratory launches Summit supercomputer.

The U.S. Department of Energy’s Oak Ridge National Laboratory today unveiled Summit as the world’s most powerful and smartest scientific supercomputer.

Radiochemical technicians David Denton and Karen Murphy use hot cell manipulators at Oak Ridge National Laboratory during the production of actinium-227.

The Department of Energy’s Oak Ridge National Laboratory is now producing actinium-227 (Ac-227) to meet projected demand for a highly effective cancer drug through a 10-year contract between the U.S. DOE Isotope Program and Bayer.

Oak Ridge National Laboratory used neutrons to evaluate the behavior of ions adsorbed on the external surfaces onion-like carbon electrodes and determine the right balance of two liquid salts that yields optimal energy storage potential.

Energy storage could get a boost from new research of tailored liquid salt mixtures, the components of supercapacitors responsible for holding and releasing electrical energy. Oak Ridge National Laboratory’s Naresh Osti and his colleagues used neutrons at the lab’s Spallation Neutron ...

Graphical representation of a deuteron, the bound state of a proton (red) and a neutron (blue). Credit: Andy Sproles/Oak Ridge National Laboratory, U.S. Dept. of Energy.

Scientists at the Department of Energy’s Oak Ridge National Laboratory are the first to successfully simulate an atomic nucleus using a quantum computer. The results, published in Physical Review Letters, demonstrate the ability of quantum systems to compute nuclear ph...

Oak Ridge National Laboratory researcher Arnab Banerjee has charted several accomplishments in his neutron studies of quantum phenomena.

Raman. Heisenberg. Fermi. Wollan. From Kolkata to Göttingen, Chicago to Oak Ridge. Arnab Banerjee has literally walked in the footsteps of some of the greatest pioneers in physics history—and he’s forging his own trail along the way. Banerjee is a staff scientist working in the Neu...

Shaheen Dewji, radiological scientist in the Center for Radiation Protection Knowledge within the Environmental Sciences Division at ORNL.

Having begun her career at the lab in the nuclear nonproliferation and radiation safeguards area, Shaheen Dewji is leveraging her expertise to help expand the work of the Center for Radiation Protection Knowledge (CRPK)—a unique organization led by Oak Ridge National Laboratory that ...

Oak Ridge National Laboratory researcher Halil Tekinalp combines silanes and polylactic acid to create supertough renewable plastic.

A novel method developed at Oak Ridge National Laboratory creates supertough renewable plastic with improved manufacturability. Working with polylactic acid, a biobased plastic often used in packaging, textiles, biomedical implants and 3D printing, the research team added tiny amo...

ORNL’s Steven Young (left) and Travis Johnston used Titan to prove the design and training of deep learning networks could be greatly accelerated with a capable computing system.

A team of researchers from the Department of Energy’s Oak Ridge National Laboratory has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training of deep learning networks on the