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Four scientists are standing in a field next to a data-gathering tool robot

Scientists at the Department of Energy’s Oak Ridge National Laboratory recently demonstrated an autonomous robotic field monitoring, sampling and data-gathering system that could accelerate understanding of interactions among plants, soil and the environment.

Group of Highly Cited researchers stand for a photo after receiving the award

Four researchers from the Department of Energy’s Oak Ridge National Laboratory were recognized as Highly Cited Researchers by Clarivate, a data analytics firm that specializes in scientific and academic research; Clarivate calculates impact factor using data from Web of Science. 

Supriya Chinthavali is standing with the Summit supercomputer at ORNL

The Department of Energy’s Office of Electricity, in partnership with ORNL, has launched an experimental platform for energy sector-related data with enhanced emphasis on governance and usability. 

A large group of attendees are pictured outside of Jackson Center in Huntsville, Alabama

ORNL and NASA co-hosted the fourth iteration of this invitation-only event, which brings together geospatial, computational, data and engineering experts around a theme. This year’s gathering focused on how artificial intelligence foundation models can enable geospatial digital twins. 

This is a simulated image of the project to build a new network that artificial intelligence and machine learning to steer experiments and analyze data faster and more accurately. will enable

To bridge the gap between experimental facilities and supercomputers, experts from SLAC National Accelerator Laboratory are teaming up with other DOE national laboratories to build a new data streaming pipeline. The pipeline will allow researchers to send their data to the nation’s leading computing centers for analysis in real time even as their experiments are taking place. 

A new Global Biomass Resource Assessment developed by ORNL scientists gathered data from 55 countries, shaded in green, resulting in a first-of-its kind compilation of current and future sustainable biomass supply estimates around the world.

A new Global Biomass Resource Assessment developed by ORNL scientists gathered data from 55 countries resulting in a first-of-its kind compilation of current and future sustainable biomass supply estimates around the world. 

Karly Harrod

Karly Harrod, recipient of the Early Career Competition Laboratory Directed Research and Development award at ORNL, is focused on extracting disease data from reports. Passionate about global health, she looks forward to applying her expertise to climate data within the geospatial science and human security division.

A researcher measures snow depth at the Kougarok field site.

Researchers led by Oak Ridge National Laboratory have been criss-crossing the Alaskan tundra for 12 years, collecting data as part of the Next-Generation Ecosystem Experiments in the Arctic project, or NGEE Arctic. They’re tracking rapid changes in the land as temperatures rise. 

This illustration demonstrates how atomic configurations with an equiatomic concentration of niobium (Nb), tantalum (Ta) and vanadium (V) can become disordered. The AI model helps researchers identify potential atomic configurations that can be used as shielding for housing fusion applications in a nuclear reactor. Credit: Massimiliano Lupo Pasini/ORNL, U.S. Dept. of Energy

A study led by the Department of Energy’s Oak Ridge National Laboratory details how artificial intelligence researchers created an AI model to help identify new alloys used as shielding for housing fusion applications components in a nuclear reactor. The findings mark a major step towards improving nuclear fusion facilities.

ORNL uses old radiation detectors repurposed into plaques

On Feb. 15, 2024, the one billionth item, also known as an “occupancy,” was scanned at the Port of Aqaba, Jordan, one of the early sites where radiation detection equipment was installed. This milestone shows the extent of countries committed to preventing the spread of radioactive material through the amount of data volunteered to ORNL for continuous improvement. As adversaries push the limits of smuggling dangerous material, this collaboration pushes back through science-backed analysis.