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Media Contacts
![Oak Ridge National Laboratory’s software suite AutoBEM is being used in the architecture, city planning, real estate and home efficiency industries. Users take advantage of the suite’s energy modeling of almost all U.S. buildings. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-09/autobem_0_0.jpg?h=571559ce&itok=-YDymByQ)
Two years after ORNL provided a model of nearly every building in America, commercial partners are using the tool for tasks ranging from designing energy-efficient buildings and cities to linking energy efficiency to real estate value and risk.
![Researchers used quantum Monte Carlo calculations to accurately render the structure and electronic properties of germanium selenide, a semiconducting nanomaterial. Credit: Paul Kent/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-09/ECP-storytip_0.png?h=e58db2e8&itok=ZzbB2Z-f)
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
![Technology Innovation Program](/sites/default/files/styles/list_page_thumbnail/public/2022-08/TIPbg_0.jpg?h=a50b7bdc&itok=_3vRlbkP)
Five technologies invented by scientists at the Department of Energy’s Oak Ridge National Laboratory have been selected for targeted investment through ORNL’s Technology Innovation Program.
![Melton Hill Dam](/sites/default/files/styles/list_page_thumbnail/public/2022-08/Melton%20Hill%20Dam_Thumbnail.jpg?h=10d202d3&itok=2XzUkPIq)
To further the potential benefits of the nation’s hydropower resources, researchers at Oak Ridge National Laboratory have developed and maintain a comprehensive water energy digital platform called HydroSource.
![Sophie Voisin, an ORNL software engineer, was part of a team that won a 2014 R&D 100 Award for work on Intelligent Software for a Personalized Modeling of Expert Opinions, Decisions and Errors in Visual Examination Tasks. Credit: Jason Richards/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-08/algo-crop2.jpg?h=384d27f0&itok=qfe3b2Fx)
Cameras see the world differently than humans. Resolution, equipment, lighting, distance and atmospheric conditions can impact how a person interprets objects on a photo.
![Data from different sources are joined on platforms created by ORNL researchers to offer better information for decision makers. Credit: ORNL/Nathan Armistead](/sites/default/files/styles/list_page_thumbnail/public/2022-07/COVID%20dashboards%20story%20graphic_0.jpg?h=d1cb525d&itok=ubNOO2W4)
When the COVID-19 pandemic stunned the world in 2020, researchers at ORNL wondered how they could extend their support and help
![non-powered dam](/sites/default/files/styles/list_page_thumbnail/public/2022-07/hydropower-resized_0.jpg?h=56d0ca2e&itok=SQEPNh78)
Although more than 92,000 dams populate the country, the vast majority — about 89,000 — do not generate electricity through hydropower.
![ORNL polymer scientists Tomonori Saito, left, and Sungjin Kim upcycled waste plastic to create a stronger, tougher, solvent-resistant material for new additive manufacturing applications. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-06/2022-P04745_2.jpg?h=c6980913&itok=9DI9K-vJ)
ORNL researchers have developed an upcycling approach that adds value to discarded plastics for reuse in additive manufacturing, or 3D printing.
![ORNL researchers deploy a gas trap to measure ebullitive (bubbling) emissions of methane at the Melton Dam in East Tennessee. The trap is deployed for ~ 24 hours to allow gas to accumulate in the trap. Credit: Carlos Jones/ORNL, US Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-06/2022-P04233.jpg?h=c6980913&itok=rKz5qh7F)
As the United States moves toward more sustainable and renewable sources of energy, hydropower is expected to play a pivotal role in integrating more intermittent renewables like wind and solar to the electricity grid
![Oak Ridge National Laboratory researchers developed an invertible neural network, a type of artificial intelligence that mimics the human brain, to improve accuracy in climate-change models and predictions. Credit: Getty Images](/sites/default/files/styles/list_page_thumbnail/public/2022-05/CCSD%20Neuro-climate.png?h=845c699a&itok=AJbSKZF8)
Oak Ridge National Laboratory researchers developed an invertible neural network, a type of artificial intelligence that mimics the human brain, to improve accuracy in climate-change models and predictions.