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The OpeN-AM experimental platform, installed at the VULCAN instrument at ORNL’s Spallation Neutron Source, features a robotic arm that prints layers of molten metal to create complex shapes. This allows scientists to study 3D printed welds microscopically. Credit: Jill Hemman, ORNL/U.S. Dept. of Energy

Using neutrons to see the additive manufacturing process at the atomic level, scientists have shown that they can measure strain in a material as it evolves and track how atoms move in response to stress.

The image conceptualizes the processing, structure and mechanical behavior of glassy ion conductors for solid state lithium batteries. Credit: Adam Malin/ORNL, U.S. Dept. of Energy

As current courses through a battery, its materials erode over time. Mechanical influences such as stress and strain affect this trajectory, although their impacts on battery efficacy and longevity are not fully understood.

Construction is underway at ORNL's Spallation Neutron Source. Credit: The Spallation Neutron Source at Oak Ridge National Laboratory — already the world’s most powerful accelerator-based neutron source — will be on a planned hiatus through June 2024 as crews work to upgrade the facility. Credit: Brett Riffert/ORNL, U.S. Dept. of Energy

The Spallation Neutron Source — already the world’s most powerful accelerator-based neutron source — will be on a planned hiatus through June 2024 as crews work to upgrade the facility. Much of the work — part of the facility’s Proton Power Upgrade project — will involve building a connector between the accelerator and the planned Second Target Station.

A new nanoscience study led by an ORNL quantum researcher takes a big-picture look at how scientists study materials at the smallest scales. Credit: Getty Images

A new nanoscience study led by a researcher at ORNL takes a big-picture look at how scientists study materials at the smallest scales.

Neutron experiments helped reveal the one-carbon enzymatic mechanism that synthesizes vital food sources for cancer cells that depend on vitamin B6, providing key insights into designing novel drugs to slow the spread of aggressive cancers. Credit: Jill Hemman/ORNL, U.S. Dept. of Energy

After a highly lauded research campaign that successfully redesigned a hepatitis C drug into one of the leading drug treatments for COVID-19, scientists at ORNL are now turning their drug design approach toward cancer. 

Upgrades to the particle accelerator enabling the record 1.7-megawatt beam power at the Spallation Neutron Source included adding 28 high-power radio-frequency klystrons (red tubes) to provide higher power for the accelerator. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy

The Spallation Neutron Source at the Department of Energy's Oak Ridge National Laboratory set a world record when its particle accelerator beam operating power reached 1.7 megawatts, substantially improving on the facility’s original design capability.

Frontier supercomputer

Innovations in artificial intelligence are rapidly shaping our world, from virtual assistants and chatbots to self-driving cars and automated manufacturing.

Matt Sieger. Credit: Carlos Jones/ORNL

The Oak Ridge Leadership Computing Facility’s Matt Sieger has been named the project director for the OLCF-6 effort. This next OLCF undertaking will plan and build a world-class successor to the OLCF’s still-new exascale system, Frontier.

The Frontier supercomputer at ORNL remains in the number one spot on the May 2023 TOP500 rankings, with an updated high-performance Linpack score of 1.194 exaflops. Engineers at the Oak Ridge Leadership Computing Facility, which houses Frontier and its predecessor Summit, expect that Frontier’s speeds could ultimately top 1.4 exaflops, or 1.4 quintillion calculations per second. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

With the world’s first exascale supercomputing system now open to full user operations, research teams are harnessing Frontier’s power and speed to tackle some of the most challenging problems in modern science.

An AI-generated image representing atoms and artificial neural networks. Credit: Maxim Ziatdinov, ORNL

Researchers at ORNL have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning probe microscopy images.