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Researchers at ORNL and the University of Maine have designed and 3D-printed a single-piece, recyclable natural-material floor panel tested to be strong enough to replace construction materials like steel. 

Two green oak leaves with other matter in two circles above them. To the right, a yellow blob. To the left, a brown material inside a bowl.

91°µĶų scientists ingeniously created a sustainable, soft material by combining rubber with woody reinforcements and incorporating ā€œsmartā€ linkages between the components that unlock on demand.

Man in blue shirt and grey pants holds laptop and poses next to a green plant in a lab.

John Lagergren, a staff scientist in 91°µĶųā€™s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNLā€™s Advanced Plant Phenotyping Laboratory.

A team led by 91°µĶų researchers used Frontier to explore training strategies for one of the largest artificial intelligence models to date. Credit: Getty Images

A team led by researchers at ORNL explored training strategies for one of the largest artificial intelligence models to date with help from the worldā€™s fastest supercomputer. The findings could help guide training for a new generation of AI models for scientific research.
 

Frontier supercomputer sets new standard in molecular simulation

When scientists pushed the worldā€™s fastest supercomputer to its limits, they found those limits stretched beyond even their biggest expectations. In the latest milestone, a team of engineers and scientists used Frontier to simulate a system of nearly half a trillion atoms ā€” the largest system ever modeled and more than 400 times the size of the closest competition.

The transportation and industrial sectors together account for more than 50% of the countryā€™s carbon footprint. Defossilization could help reduce new emissions from these and other difficult-to-electrify segments of the U.S. economy.

Scientists at 91°µĶų and six other Department of Energy national laboratories have developed a United States-based perspective for achieving net-zero carbon emissions. 

Architects of the Adaptable IO System, seen here with Frontier's Orion file system: Scott Klasky, left, heads the ADIOS project and leads ORNL's Workflow Systems group, and Norbert Podhorszki, an ORNL computer scientist, oversees ADIOS's continuing development. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy

Integral to the functionality of ORNL's Frontier supercomputer is its ability to store the vast amounts of data it produces onto its file system, Orion. But even more important to the computational scientists running simulations on Frontier is their capability to quickly write and read to Orion along with effectively analyzing all that data. And thatā€™s where ADIOS comes in.

Rigoberto Advincula has been elected to the to the AIMBE College of Fellows. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

Rigoberto ā€œGobetā€ Advincula, a scientist with joint appointments at ORNL and the University of Tennessee, has been named a Fellow of the American Institute for Medical and Biological Engineering.

Chelsea Chen, polymer physicist at ORNL, stands in front of an eight-channel potentiostat and temperature chamber used for battery and electrochemical testing. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy

Chelsea Chen, a polymer physicist at ORNL, is studying ion transport in solid electrolytes that could help electric vehicle battery charges last longer.

Researchers at Corning have found that understanding the stability of the rings of atoms in glass materials can help predict the performance of glass products.

Corning uses neutron scattering to study the stability of different types of glass. Recently, researchers for the company have found that understanding the stability of the rings of atoms in glass materials can help predict the performance of glass products.