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Researchers Sang-Ho Kim, An-Ping Li, Bronson Messer and Zac Ward of the Department of Energy’s Oak Ridge National Laboratory have been named Fellows of the American Physical Society in recognition of their outstanding impact in their respective fields.

Argonne National Laboratory researchers have been nominated for the Gordon Bell Prize in supercomputing for conducting the largest-ever simulation of the universe using the Frontier supercomputer. The achievement sets a new benchmark for simulating the universe, enabling scientists to study atomic matter and dark matter simultaneously. The simulations tracked 4 trillion particles, represented across 15 billion light-years of space — delivering a 15-fold leap in capability over the previous state-of-the-art simulations.

The Department of Energy’s Oak Ridge National Laboratory was honored with four prestigious awards at the 2025 Composites and Advanced Materials Conference, North America’s largest event dedicated to composites and advanced materials.

Researchers at the Department of Energy’s Oak Ridge National Laboratory have developed a new simulation platform for understanding and predicting the behavior of this modern grid. Using a combination of mathematical tools, automation and analysis, the approach provides highly accurate results with less computing time at a lower cost, increasing the reliability of electricity.

Over the next decade, aluminum auto body scrap will flood salvage systems, much of it too impure for reuse in critical parts. ORNL researchers developed RidgeAlloy, a new aluminum alloy that turns low-value scrap into a reliable, high-value domestic supply for structural automotive manufacturing.

Researchers with the Department of Energy’s Oak Ridge National Laboratory and the University of Tennessee, Knoxville, have created an innovative method to visualize and analyze atomic structures within specially designed, ultrathin bilayer 2D materials. When precisely aligned at an angle, these materials exhibit unique properties that could lead to advancements in quantum computing, superconductors and ultraefficient electronics.

A research team led by Oak Ridge National Laboratory has developed a new method to uncover the atomic origins of unusual material behavior. This approach uses Bayesian deep learning, a form of artificial intelligence that combines probability theory and neural networks to analyze complex datasets with exceptional efficiency. 

In collaboration with chemical technology and engineering company Dimensional Energy, scientists at the U.S. Department of Energy’s Oak Ridge National Laboratory have integrated binder jet additive manufacturing with an advanced post-processing method to fabricate leak-tight ceramic components, overcoming a key challenge of ceramic additive manufacturing. 

ORNL will lead two collaborations under the Fusion Innovation Research Engine (FIRE) program and partner on two more to close critical gaps in fusion technology and bridge basic research with growing fusion companies.