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David Sholl
Sholl selected as UT-ORII executive director
Images showing distortion caused by residual stress in the horizontal and vertical axes of material. ORNL researchers found that simply adding material in critical regions mitigates the accumulation of stress. Credit: ORNL, U.S. Dept. of Energy
Dealing with stress in large-scale additive manufacturing
Jens Dilling has been named associate laboratory director for the Neutron Sciences Directorate at the Department of Energy’s Oak Ridge National Laboratory, effective April 1.
Dilling named associate laboratory director for neutron sciences

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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

Quantum study peers within sensing at the nanoscale

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

ZEISS Head of Additive Manufacturing Technology Claus Hermannstaedter, left, and ORNL Interim Associate Laboratory Director for Energy Science and Technology Rick Raines sign a licensing agreement that allows ORNL’s machine-learning algorithm, Simurgh, to be used for rapid evaluations of 3D-printed components with industrial X-ray computed tomography, or CT. Using machine learning in CT scanning is expected to reduce the time and cost of inspections of 3D-printed parts by more than ten times.

ZEISS, ORNL sign licensing agreement for inspection of 3D-printed parts

A licensing agreement between the Department of Energy’s Oak Ridge National Laboratory and research partner ZEISS will enable industrial X-ray computed tomography, or CT, to perform rapid evaluations of 3D-printed components using ORNL’s machine

The OpeN-AM experimental platform, installed at the VULCAN instrument, features a robotic arm that prints layers of molten metal to create complex shapes. Credit: Jill Hemman/ORNL, U.S Dept. of Energy

ORNL wins six R&D 100 research awards

Technologies developed by researchers at ORNL have received six 2023 R&D 100 Awards.  

Innovation Crossroads cohort 7

Seven entrepreneurs join Innovation Crossroads seventh cohort

Seven entrepreneurs will embark on a two-year fellowship as the seventh cohort of Innovation Crossroads kicks off this month at ORNL. Representing a range of transformative energy technologies, Cohort 7 is a diverse class of innovators with promising new companies.

ORNL’s Fernanda Santos examines a soil sample at an NGEE Arctic field site in the Alaskan tundra in June 2022. Credit: Amy Breen, University of Alaska Fairbanks.

Scientists dig into wildfire predictions, long-term impacts

Wildfires are an ancient force shaping the environment, but they have grown in frequency, range and intensity in response to a changing climate. At ORNL, scientists are working on several fronts to better understand and predict these events and what they mean for the carbon cycle and biodiversity.

Frontier supercomputer

Visionary report unveils ambitious roadmap to harness the power of AI in scientific discovery

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

ORNL researchers, from left, Yang Liu, Xiaohan Yang and Torik Islam, collaborated on the development of a new capability to insert multiple genes simultaneously for fast, efficient transformation of plants into better bioenergy feedstocks. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy

New approach ‘stacks’ genes for faster plant transformation

In a discovery aimed at accelerating the development of process-advantaged crops for jet biofuels, scientists at ORNL developed a capability to insert multiple genes into plants in a single step.

Marm Dixit, a Weinberg Distinguished Staff Fellow at Oak Ridge National Laboratory, was honored for his work on imaging techniques for solid state batteries. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

Dixit receives 2023 Rosalind Franklin Young Investigator Award

Marm Dixit, a Weinberg Distinguished Staff Fellow at ORNL has received the 2023 Rosalind Franklin Young Investigator Award.

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

Deep learning–based data analysis software by ORNL promises to accelerate materials research

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.

The licensing and leadership team behind AMIGO. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

ORNL malware ‘vaccine’ generator licensed for Evasive.ai platform

A technology developed at ORNL and used by the U.S. Naval Information Warfare Systems Command, or NAVWAR, to test the capabilities of commercial security tools has been licensed to cybersecurity firm Penguin Mustache to create its Evasive.ai platform. The company was founded by the technology’s creator, former ORNL scientist Jared M. Smith, and his business partner, entrepreneur Brandon Bruce.