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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.

International clean energy initiative launches global biomass resource assessment

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. 

Man in blue shirt and grey pants holds laptop and poses next to a green plant in a lab.

John Lagergren: Cultivating AI for a plant science revolution

John Lagergren, a staff scientist in Oak Ridge National Laboratory’s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNL’s Advanced Plant Phenotyping Laboratory.

The AI agent, incorporating a language model-based molecular generator and a graph neural network-based molecular property predictor, processes a set of user-provided molecules (green) and produces/suggests new molecules (red) with desired chemical/physical properties (i.e. excitation energy). Image credit: Pilsun You, Jason Smith/ORNL, U.S. DOE

Computational scientists generate molecular datasets at extreme scale

A team of computational scientists at ORNL has generated and released datasets of unprecedented scale that provide the ultraviolet visible spectral properties of over 10 million organic molecules. 

ORNL researchers used geotagged photos to map crude oil train routes in the U.S. The mapping gives transportation planners insight into understanding potential impacts along the routes. Credit: ORNL, U.S. Dept. of Energy

Safe train transport

Oak Ridge National Laboratory researchers used images from a photo-sharing website to identify crude oil train routes across the nation to provide data that could help transportation planners better understand regional impacts.

CFM’s RISE open fan engine architecture. Image: GE Aerospace

GE Aerospace runs one of the world’s largest supercomputer simulations to test revolutionary new open fan engine architecture

To support the development of a revolutionary new open fan engine architecture for the future of flight, GE Aerospace has run simulations using the world’s fastest supercomputer capable of crunching data in excess of exascale speed, or more than a quintillion calculations per second.

TEDB

Tracking data: DOE’s 40th edition Transportation Energy Data Book monitors U.S. mobility trends, charges up on electric outlook

It’s been referenced in Popular Science and Newsweek, cited in the Economic Report of the President, and used by agencies to create countless federal regulations.

Ross Wang is leveraging his expertise in civil engineering, transportation systems, data analytics, and modeling and simulation in a variety of mobility projects at ORNL, including unsnarling traffic on some of the nation’s most congested roadways. Credit: ORNL/U.S. Dept. of Energy

Ross Wang: Driving clean mobility with data analytics

Ross Wang has been intent on resolving traffic jams since he rode a city bus every day through 40 minutes of traffic to get to his elementary school. That daily journey left an impression that would shape his career.

Transportation Energy Data Book Edition 37

Transportation—Logging the miles

Oak Ridge National Laboratory’s latest Transportation Energy Data Book: Edition 37 reports that the number of vehicles nationwide is growing faster than the population, with sales more than 17 million since 2015, and the average household vehicle travels more than 11,000 miles per year.