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Scientists have developed a new machine learning approach that accurately predicted critical and difficult-to-compute properties of molten salts, materials with diverse nuclear energy applications.

As the focus on energy resiliency and competitiveness increases, the development of advanced materials for next-generation, commercial fusion reactors is gaining attention. A recent paper examines a promising candidate for these reactors: ultra-high-temperature ceramics, or UHTCs.
Troy Carter, director of the Fusion Energy Division at Oak Ridge National Laboratory, leads efforts to make fusion energy a reality, overseeing key projects like MPEX and fostering public-private collaborations in fusion research.
Dave Weston studies how microorganisms influence plant health and stress tolerance, using the Advanced Plant Phenotyping Laboratory to accelerate research on plant-microbe interactions and develop resilient crops for advanced fuels, chemicals and

Researchers at Oak Ridge National Laboratory have developed a new automated testing capability for semiconductor devices, which is newly available to researchers and industry partners in the Grid Research Integration and Deployment Center.

Phong Le is a computational hydrologist at ORNL who is putting his skills in hydrology, numerical modeling, machine learning and high-performance computing to work quantifying water-related risks for humans and the environment.

Researchers at Stanford University, the European Center for Medium-Range Weather Forecasts, or ECMWF, and ORNL used the lab’s Summit supercomputer to better understand atmospheric gravity waves, which influence significant weather patterns that are difficult to forecast.

From during his early years at NASA to his current role a researcher and group leader, Peter Fuhr has pushed the boundaries of optical and sensor technology. Fuhr’s path is marked by wacky creativity that can’t confine itself to challenges in a single field. No idea is too far out to try out — and so many of them work that Fuhr has a host of inventions and start-ups under his belt.

Scientists at ORNL are studying the failure mechanisms of a new solid electrolyte battery to enhance long-term storage for renewable energy, aiming to make wind and solar power more reliable for the electric grid.

The Advanced Plant Phenotyping Laboratory at ORNL utilizes robotics, multi-modal imaging, and AI to enhance understanding of plant genetics and interactions with microbes. It aims to connect genes to traits for advancements in bioenergy, agriculture, and climate resilience. Senior scientist Larry York highlights the lab's capabilities and the insights from a new digital underground imaging system to improve biomass feedstocks for bioenergy and carbon storage.