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ORNL researchers are establishing a digital thread of data, algorithms and workflows to produce a continuously updated model of earth systems.

Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.

 

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Waiting for answers surrounding a healthcare condition can be as stressful as the condition itself. Maria Mahbub, a research collaborator at Oak Ridge National Laboratory, is developing technology that could help providers and patients get answers sooner.

Sarah Walters portrait

Walters is working with a team of geographers, linguists, economists, data scientists and software engineers to apply cultural knowledge and patterns to open-source data in an effort to document and report patterns of human movement through previously unstudied spaces.

Susan Hubbard, ORNL’s deputy for science and technology and Quincy Quick, TSU’s associate vice president for Research and Sponsored Programs, sign a memorandum of understanding to strengthen research cooperation and provide diverse undergraduate students enriching educational research opportunities at the lab. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

The Department of Energy’s Oak Ridge National Laboratory and Tennessee State University have signed a memorandum of understanding to strengthen research cooperation and provide diverse undergraduate students enriching educational research opportunities at the lab.

Susan Hubbard, ORNL’s deputy for science and technology and Can (John) Saygin, senior vice president for research and dean of the graduate college at UTRGV, sign a memorandum of understanding to strengthen research cooperation and establish a collaborative program for undergraduate research and education. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

ORNL and the University of Texas Rio Grande Valley, known as UTRGV, have signed a memorandum of understanding to strengthen research cooperation and establish a collaborative program for undergraduate research and education, further cementing hi

Susan Hubbard, diputada de Ciencia y Tecnología en ORNL, Can (John) Saygin, vicepresidente mayor de investigación y decano del Colegio de la Escuela de Postgrados en UTGRV, firman un Memorándum de Entendimiento comprometiéndose a fortalecer la cooperación en la investigación científica y establecer un programa colaborativo para estudiantes de pregrado. Crédito de la fotografía: Carlos Jones/ORNL, U.S. Dept. of Energy

Susan Hubbard, diputada de Ciencia y Tecnología en ORNL, Can (John) Saygin, vicepresidente mayor de investigación y decano del Colegio de la Escuela de Postgrados en UTGRV, firman un Memorándum de Entendimiento comprometiéndose a fortalecer

The Department of Energy’s Oak Ridge National Laboratory announced the establishment of its Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making. Credit: Rachel Green/ORNL, U.S. Dept. of Energy

The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.

Attendees of SMC23 pose for their annual group photo in downtown Knoxville, TN.

ORNL hosted its annual Smoky Mountains Computational Sciences and Engineering Conference in person for the first time since the COVID-19 pandemic.

The DEMAND single crystal diffractometer at the High Flux Isotope Reactor, or HFIR, is the latest neutron instrument at the Department of Energy’s Oak Ridge National Laboratory to be equipped with machine learning-assisted software, called ReTIA. Credit: Jeremy Rumsey/ORNL, U.S. Dept. of Energy

Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.

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.

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