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The illustration depicts ocean surface currents simulated by MPAS-Ocean. Credit: Los Alamos National Laboratory, E3SM, U.S. Dept. of Energy

A team from DOE’s Oak Ridge, Los Alamos and Sandia National Laboratories has developed a new solver algorithm that reduces the total run time of the Model for Prediction Across Scales-Ocean, or MPAS-Ocean, E3SM’s ocean circulation model, by 45%. 

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.

Steven Hamilton, an R&D scientist in the HPC Methods for Nuclear Applications group at ORNL, leads the ExaSMR project. ExaSMR was developed to run on the Oak Ridge Leadership Computing Facility’s exascale-class supercomputer, Frontier. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy

The Exascale Small Modular Reactor effort, or ExaSMR, is a software stack developed over seven years under the Department of Energy’s Exascale Computing Project to produce the highest-resolution simulations of nuclear reactor systems to date. Now, ExaSMR has been nominated for a 2023 Gordon Bell Prize by the Association for Computing Machinery and is one of six finalists for the annual award, which honors outstanding achievements in high-performance computing from a variety of scientific domains.  

UnifyFS team wins IPDPS award for open-source software
A research team from the Department of Energy’s Oak Ridge and Lawrence Livermore national laboratories won the first Best Open-Source Contribution Award for its paper at the 37th IEEE International Parallel and Distributed Processing
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.

An ORNL-led team developed a variable control mechanism to enable precision de-icing on urban roads, using roadway data from the City of Knoxville in Tennessee. Credit: Jason Richards/Oak Ridge National Laboratory, U.S. Dept. of Energy

A precision approach to treating snow- and ice-covered roads, developed by an Oak Ridge National Laboratory-led research team, aims to help cities effectively allocate resources and expand coverage on roadways. The combined software and hardware technology analyzes existing city data and uses high-resolution modeling to identify areas most vulnerable to drivers during hazardous weather conditions.

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Inspired by her computer science studies and the possibilities of 3D-printing, intern Elizabeth Yeoh-Wang found a way to combine those pursuits as she worked on a software project at the Manufacturing Demonstration Facility (MDF) at Oak Ridge National Laboratory (ORNL) last summer. Elizabeth, a r...

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Oak Ridge National Laboratory scientists designed software for St. Jude Children’s Research Hospital that significantly sped processing of microscopy images used in brain development research. The software provided frame-by-frame analysis of video taken of a mouse brain cell in a matter of hours compared with traditional manual techniques that can take weeks.
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Virginia-based Lenvio Inc. has exclusively licensed a cyber security technology from the Department of Energy’s Oak Ridge National Laboratory that can quickly detect malicious behavior in software not previously identified as a threat.

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Homeowners, utilities and the environment could be winners with a home energy management system, or HEMS, developed by researchers at Oak Ridge National Laboratory. The team’s open-source, user-friendly and easy-to-use software monitors and controls energy consumption, according to H...