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Media Contacts
![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.
![Matt McCarthy uses images collected from the sky to interpret changes to the coastlines and oceans for national security research. Credit: Carlos Jones and Rachel Green/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-08/mccarthy_0.png?h=9d172ced&itok=IRWo-fXz)
When Matt McCarthy saw an opportunity for a young career scientist to influence public policy, he eagerly raised his hand.
![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.
![Oak Ridge National Laboratory’s Ramesh Bhave partnered with Momentum Technologies to develop a modular, scalable system for recycling scrap permanent magnets in e-waste. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-08/ewastescraps-crop2.jpg?h=384d27f0&itok=7JYmPXOp)
Researchers at Oak Ridge National Laboratory and Momentum Technologies have piloted an industrial-scale process for recycling valuable materials in the millions of tons of e-waste generated annually in the United States.
![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.
![Melanie Mayes is an ORNL biogeochemist studying soil carbon cycling across varied ecosystems, including in urban environments. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-07/2022-P05790.jpg?h=e5831c8d&itok=chW-Ob9B)
Science has taken Melanie Mayes from Tennessee to the tropics, studying some of the most important ecosystems in the world.
![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
![Microorganisms may provide hope that peatlands can withstand hotter temperatures in a changing climate.](/sites/default/files/styles/list_page_thumbnail/public/2022-06/2022-P05008_thumbnail.jpg?h=c6980913&itok=XrWyH8u0)
Microorganisms may provide hope that peatlands can withstand hotter temperatures in a changing climate.
![Oak Ridge National Laboratory scientists are enhancing the performance of polymer materials for next-generation lithium batteries. Credit: Adam Malin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-06/cover_Bryantsev.png?h=320a590f&itok=7jkQE5Zm)
Researchers at Oak Ridge National Laboratory are using state-of-the-art methods to shed light on chemical separations needed to recover rare-earth elements and secure critical materials for clean energy technologies.
![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.