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

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.

Xiao Wang

Xiao Wang, a research scientist at ORNL, has been named a senior member of the Institute of Electrical and Electronics Engineers, the world’s largest organization for technical professionals. Wang works in the lab’s Computing and Computational Sciences Directorate’s Advanced Computing for Health Sciences Section.

The U.S. Department of Energy’s Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program offers researchers the opportunity to pursue transformational advances in science and technology through large allocations of computer time and supporting resources at the Argonne and the Oak Ridge Leadership Computing Facilities.

The U.S. Department of Energy’s (DOE) Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program is now accepting proposals for high-impact, computationally intensive research campaigns in a broad array of science, engineering and computer science domains. Proposals must be submitted between April 10, 2023 and June 16, 2023.

Michael Parks

ORNL has named Michael Parks director of the Computer Science and Mathematics Division within ORNL’s Computing and Computational Sciences Directorate. His hiring became effective March 13.

Oak Ridge National Laboratory led a team of scientists to design a molecule that disrupts the infection mechanism of the SARS-CoV-2 coronavirus and could be used to develop new treatments for COVID-19 and future virus outbreaks. Credit: Michelle Lehman/ORNL, U.S. Dept. of Energy

A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory designed a molecule that disrupts the infection mechanism of the SARS-CoV-2 coronavirus and could be used to develop new treatments for COVID-19 and other viral diseases.

UKAEA will provide novel fusion materials to be irradiated in ORNL’s HFIR facility over the next four years. From left, Kathy McCarthy, Jeremy Busby, Mickey Wade, Prof Sir Ian Chapman (UKAEA CEO), Cynthia Jenks and Yutai Kato will represent this new partnership. Not pictured: Dr. Amanda Quadling, UKAEA’s Director of Materials Research Facility. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy

ORNL has entered a strategic research partnership with the United Kingdom Atomic Energy Authority, or UKAEA, to investigate how different types of materials behave under the influence of high-energy neutron sources. The $4 million project is part of UKAEA's roadmap program, which aims to produce electricity from fusion.

A control room monitor at Oak Ridge National Laboratory’s Spallation Neutron Source displays the power level of 1555 kilowatts (1.55 megawatts), a world record for a linear accelerator used for neutron research. Credit: Jeremy Rumsey/ORNL

ORNL's Spallation Neutron Source set a world record when its linear accelerator reached an operating power of 1.55 megawatts, which improves on the facility’s original design capability.

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ORNL staff members played prominent roles in reports that won one Distinction award and two Excellence awards in the 2022 Alliance Competition of the Society for Technical Communication. PSD's Karren More and Bruce Moyer participated.

Paul Langan will oversee ORNL's research directorate focused on biological and environmental systems science. Credit: ORNL, U.S. Dept. of Energy

Paul Langan will join ORNL in the spring as associate laboratory director for the Biological and Environmental Systems Science Directorate.

A pure lipid membrane formed using lipid-coated water droplets exhibits long-term potentiation, or LTP, associated with learning and memory, emulating hippocampal LTP observed in the brains of mammals and birds. Credit: Jill Hemman/ORNL, U.S. Dept. of Energy

While studying how bio-inspired materials might inform the design of next-generation computers, scientists at ORNL achieved a first-of-its-kind result that could have big implications for both edge computing and human health.