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Media Contacts
![Benefit breakdown, 3D printed vs. wood molds](/sites/default/files/styles/list_page_thumbnail/public/2023-09/2017-P07318%5B74%5D.jpg?h=1116cd87&itok=UNsJX4Uv)
Oak Ridge National Laboratory researchers have conducted a comprehensive life cycle, cost and carbon emissions analysis on 3D-printed molds for precast concrete and determined the method is economically beneficial compared to conventional wood molds.
![Valuable chemicals are selectively produced from mixed plastic waste by an ORNL-developed plastic deconstruction process. Credit: Tomonori Saito, Md Arifuzzaman and Adam Malin, ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/Saito.Story_Tip2%20Image%20%28002%29_0.jpg?h=d1cb525d&itok=iUQBav7Y)
Almost 80% of plastic in the waste stream ends up in landfills or accumulates in the environment. Oak Ridge National Laboratory scientists have developed a technology that converts a conventionally unrecyclable mixture of plastic waste into useful chemicals, presenting a new strategy in the toolkit to combat global plastic waste.
![Connecting wires to the interface of the topological insulator and superconductor enables probing of novel electronic properties. Researchers aim for qubits based on theorized Majorana particles. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/2023-P04516.jpg?h=c6980913&itok=BoCZtfwR)
Quantum computers process information using quantum bits, or qubits, based on fragile, short-lived quantum mechanical states. To make qubits robust and tailor them for applications, researchers from the Department of Energy’s Oak Ridge National Laboratory sought to create a new material system.
![Using the ultrahigh-vacuum atomic force microscope at DOE’s Center for Nanophase Materials Sciences at ORNL, researchers found unique environmentally induced ferroelectric phase transitions in hafnium zirconium oxide, a material important in developing advanced semiconductors. Credit: Arthur Baddorf/ORNL, Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/UHV_AFM_copy_0.jpg?h=d1cb525d&itok=FZxBVQjC)
A team of scientists with ORNL has investigated the behavior of hafnium oxide, or hafnia, because of its potential for use in novel semiconductor applications.
![Safari photo illustration](/sites/default/files/styles/list_page_thumbnail/public/2023-09/Safari_1200x560.jpg?h=da6cf0c2&itok=u4z5iMt8)
ORNL has launched a new entrepreneurial start-up program, Safari, as an addition to DOE's Office of Technology Transitions Practices to Accelerate the Commercialization of Technologies program. Safari seeks to connect post-exit entrepreneurs with commercially relevant technologies developed by world-leading scientific experts, which could provide the basis for a new business.
![Chathuddasie Amarasinghe explains her research poster, “Using Microfluidic Mother Machine Devices to Study the Correlated Dynamics of Ribosomes and Chromosomes in Escherichia Coli.” Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/2023-P11614_0.jpg?h=06ac0d8c&itok=kjePlpfo)
Speakers, scientific workshops, speed networking, a student poster showcase and more energized the Annual User Meeting of the Department of Energy’s Center for Nanophase Materials Sciences, or CNMS, Aug. 7-10, near Market Square in downtown Knoxville, Tennessee.
![Oak Ridge National Laboratory entrance sign](/themes/custom/ornl/images/default-thumbnail.jpg)
The Department of Energy’s Office of Science has selected three ORNL research teams to receive funding through DOE’s new Biopreparedness Research Virtual Environment initiative.
![ZEISS Head of Additive Manufacturing Technology Claus Hermannstaedter, left, and ORNL Interim Associate Laboratory Director for Energy Science and Technology Rick Raines sign a licensing agreement that allows ORNL’s machine-learning algorithm, Simurgh, to be used for rapid evaluations of 3D-printed components with industrial X-ray computed tomography, or CT. Using machine learning in CT scanning is expected to reduce the time and cost of inspections of 3D-printed parts by more than ten times.](/sites/default/files/styles/list_page_thumbnail/public/2023-08/ZEISS%20signing%20handshake_0.jpg?h=c6980913&itok=4J8nVrPc)
A licensing agreement between the Department of Energy’s Oak Ridge National Laboratory and research partner ZEISS will enable industrial X-ray computed tomography, or CT, to perform rapid evaluations of 3D-printed components using ORNL’s machine
![The OpeN-AM experimental platform, installed at the VULCAN instrument, features a robotic arm that prints layers of molten metal to create complex shapes. Credit: Jill Hemman/ORNL, U.S Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-08/Picture2.jpg?h=3c75dc16&itok=_NLdJ0Po)
Technologies developed by researchers at ORNL have received six 2023 R&D 100 Awards.
![Takaaki Koyanagi](/sites/default/files/styles/list_page_thumbnail/public/2023-08/2016-P03302.jpg?h=e2f0038f&itok=0ceNGrbX)
Takaaki Koyanagi, an R&D staff member in the Materials Science and Technology Division of ORNL, has received the TMS Frontiers of Materials award.