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ORNL researchers are developing a method to print low-cost, high-fidelity, customizable sensors for monitoring power grid equipment. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

A method developed at Oak Ridge National Laboratory to print high-fidelity, passive sensors for energy applications can reduce the cost of monitoring critical power grid assets.

Associate Laboratory Director Kathy McCarthy heads the ORNL directorate that manages proto-MPEX, a linear plasma device that informs the development of the MPEX tool for study of fusion materials. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

From the helm of a one-of-a-kind organization that brings nuclear fusion and fission expertise together to pave the way to expanding carbon-free energy, Kathy McCarthy can trace the first step of her engineering career back to

ORNL recognized the small businesses that have made a positive impact on ORNL’s operations at the virtual 2020 Small Business Awards. Credit: ORNL, U.S. Dept. of Energy

Thirty-two Oak Ridge National Laboratory employees were named among teams recognized by former DOE Secretary Dan Brouillette with Secretary’s Honor Awards as he completed his term. Four teams received new awards that reflect DOE responses to the coronavirus pandemic.

Pella Marion

A new Department of Energy report produced by Oak Ridge National Laboratory details national and international trends in hydropower, including the role waterpower plays in enhancing the flexibility and resilience of the power grid.

An international research team used scanning tunneling microscopy at ORNL to send and receive single molecules across a surface on an atomically precise track. Credit: Michelle Lehman/ORNL, U.S. Dept. of Energy

Oak Ridge National Laboratory’s Center for Nanophase Materials Sciences contributed to a groundbreaking experiment published in Science that tracks the real-time transport of individual molecules.

An X-ray CT image of a 3D-printed metal turbine blade was reconstructed using ORNL’s neural network and advanced algorithms. Credit: Amir Ziabari/ORNL, U.S. Dept. of Energy

Algorithms developed at Oak Ridge National Laboratory can greatly enhance X-ray computed tomography images of 3D-printed metal parts, resulting in more accurate, faster scans.