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Media Contacts
![Martin Wissink of ORNL’s Buildings and Transportation Science Division applies neutrons and other diagnostic tools at Oak Ridge National Laboratory in pursuit of cleaner, sustainable and more flexible transportation technologies. Credit: Genevieve Martin/ORNL, U.S. Dept of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-02/Wissink%202019%202019-P16221_0.jpg?h=56d0ca2e&itok=Pu5f8Hx_)
For a researcher who started out in mechanical engineering with a focus on engine combustion, Martin Wissink has learned a lot about neutrons on the job
![Small, 3D-printed neutron collimators, designed by ORNL’s Jamie Molaison, yield reduced costs and manufacturing times and could enable new types of experiments. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-01/2018-P07649%203D%20printed%20Collimator_BL-3-6177R_sm_0.jpg?h=49ab6177&itok=lesrnsHF)
The ExOne Company, the global leader in industrial sand and metal 3D printers using binder jetting technology, announced it has reached a commercial license agreement with Oak Ridge National Laboratory to 3D print parts in aluminum-infiltrated boron carbide.
![The 2021 Fuel Economy Guide, compiled by ORNL researchers, provides tips for keeping fuel costs down and helps consumers find the most fuel-efficient vehicle. Credit: ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-01/Transportation%20-%20Easy%20on%20the%20pedals_0.jpg?h=f0649f60&itok=11HQCqNO)
Fuel economy can take a tumble when temperatures plummet, according to the Department of Energy’s 2021 Fuel Economy Guide. Compiled by researchers at Oak Ridge National Laboratory, the guide includes several tips to improve a vehicle’s fuel performance.
![An X-ray CT image of a 3D-printed metal turbine blade was reconstructed using ORNL’s neural network and advanced algorithms. Credit: Amir Ziabari/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-01/Manufacturing%20-%20Defect%20detection%202_0.jpg?h=259e5a75&itok=CwpLQv6U)
Algorithms developed at Oak Ridge National Laboratory can greatly enhance X-ray computed tomography images of 3D-printed metal parts, resulting in more accurate, faster scans.