![Researcher Brittany Rodriguez works with an ORNL-developed Additive Manufacturing/Compression Molding system that 3D prints large-scale, high-volume parts made from lightweight composites. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/featured_square_large/public/2024-07/Rodriguez%20profile%20photo%202.jpg?h=b3660f0d&itok=xn0NRyVn)
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Media Contacts
![inland watersn n](/sites/default/files/styles/list_page_thumbnail/public/2022-09/inland_waters_thumbnail0_0.jpg?h=6a9452de&itok=xREsuuQ_)
Global carbon emissions from inland waters such as lakes, rivers, streams and ponds are being undercounted by about 13% and will likely continue to rise given climate events and land use changes, ORNL scientists found.
![ORNL researchers made a thermal insulation composite from hollow silica particles by mixing the particles with cellulose fibers. The composite proved to be highly moisture stable and shows potential for use in thermal applications. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-09/silica_02._0.jpg?h=e284ae3a&itok=8_Qx9p0i)
ORNL researchers demonstrated a process for producing a moisture-stable, lightweight thermal insulation material using hollow silica particles, or HSPs.
![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.
![The AI-driven HyperCT platform has three primary points of articulation that can rotate a sample in almost any direction, eliminating the need for human intervention and significantly reducing lengthy experiment times. Credit: Genevieve Martin, ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-07/acquisition_0.jpg?h=c6980913&itok=9M0eCGXt)
Oak Ridge National Laboratory researchers are developing a first-of-its-kind artificial intelligence device for neutron scattering called Hyperspectral Computed Tomography, or HyperCT.
![Oak Ridge National Laboratory researchers developed a device called a piezoelectric-driven magnetic actuator, or PEDMA, that can be inserted into the header of a microchannel heat exchanger to keep refrigerants flowing evenly and the HVAC unit running efficiently. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-08/device-crop.jpg?h=e15d4061&itok=cUDKnYCj)
Oak Ridge National Laboratory researchers demonstrated that microchannel heat exchangers in heating, ventilation and air conditioning units can keep refrigerants evenly and continually distributed by inserting a device called a piezoelectric-driven
![Caption: ORNL researchers demonstrated a system that can detect propane leaks within seconds and notify emergency services immediately, well before flames ignite. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-06/sensor.jpg?h=56a028f0&itok=MzSoh0Xg)
Oak Ridge National Laboratory researchers demonstrated that an electrochemical sensor paired with a transmitter not only detects propane leaks within seconds, but it can also send a signal to alert emergency services.
![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.
![With seismic and acoustic data recorded by remote sensors near ORNL’s High Flux Isotope Reactor, researchers could predict whether the reactor was on or off with 98% accuracy. Credit: Nathan Armistead/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-05/Seismo%20acoustic%20draft%20v3_0.jpg?h=2e111cc1&itok=0oLpYDc8)
An Oak Ridge National Laboratory team developed a novel technique using sensors to monitor seismic and acoustic activity and machine learning to differentiate operational activities at facilities from “noise” in the recorded data.
![Oak Ridge National Laboratory researchers developed a single burner cooking appliance powered by a blend of 50% hydrogen and natural gas, reducing emissions that contribute to the carbon footprint. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-03/20220215_164141a_0.jpg?h=693a2047&itok=mOe-X60m)
A prototype cooking appliance developed by Oak Ridge National Laboratory uses a 50% blend of hydrogen and natural gas, offering an alternative to safely reduce emissions that contribute to the nation’s carbon footprint.
![Oak Ridge National Laboratory researchers built a prototype natural gas furnace that uses acidic gas reduction technology to remove or trap potentially environmentally harmful emissions. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-02/figure_cut01.jpg?h=83b007b6&itok=4IZRL7Wd)
Oak Ridge National Laboratory researchers have developed a novel solution to reduce the environmental impact of natural gas-condensing furnaces commonly used in U.S. homes.