Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (29)
- Computing and Computational Sciences Directorate (39)
- Energy Science and Technology Directorate (229)
- Fusion and Fission Energy and Science Directorate
(24)
- Information Technology Services Directorate (3)
- Isotope Science and Enrichment Directorate (7)
- National Security Sciences Directorate (20)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (138)
- User Facilities (28)
Researcher
- Soydan Ozcan
- Halil Tekinalp
- Meghan Lamm
- Vlastimil Kunc
- Ahmed Hassen
- Umesh N MARATHE
- Dan Coughlin
- Katie Copenhaver
- Srikanth Yoginath
- Steven Guzorek
- Uday Vaidya
- Vipin Kumar
- Alex Roschli
- Beth L Armstrong
- Chad Steed
- David Nuttall
- Georges Chahine
- James J Nutaro
- Junghoon Chae
- Matt Korey
- Nadim Hmeidat
- Pratishtha Shukla
- Pum Kim
- Sanjita Wasti
- Steve Bullock
- Sudip Seal
- Travis Humble
- Tyler Smith
- Xianhui Zhao
- Adwoa Owusu
- Akash Phadatare
- Alexander Enders
- Alexander I Wiechert
- Ali Passian
- Amber Hubbard
- Annetta Burger
- Benjamin Manard
- Ben Lamm
- Brian Post
- Brittany Rodriguez
- Bryan Lim
- Cait Clarkson
- Carter Christopher
- Chance C Brown
- Charles F Weber
- Christopher S Blessinger
- Costas Tsouris
- Debraj De
- Erin Webb
- Evin Carter
- Gabriel Veith
- Gautam Malviya Thakur
- Govindarajan Muralidharan
- Harper Jordan
- Isaac Sikkema
- James Gaboardi
- Jeremy Malmstead
- Jesse Heineman
- Jesse McGaha
- Jim Tobin
- Joanna Mcfarlane
- Joel Asiamah
- Joel Dawson
- Jonathan Willocks
- Joseph Olatt
- Josh Crabtree
- Junghyun Bae
- Kevin Sparks
- Khryslyn G Araño
- Kim Sitzlar
- Kitty K Mccracken
- Kunal Mondal
- Liz McBride
- Mahim Mathur
- Marm Dixit
- Matt Vick
- Mingyan Li
- Nance Ericson
- Oluwafemi Oyedeji
- Oscar Martinez
- Pablo Moriano Salazar
- Paritosh Mhatre
- Peeyush Nandwana
- Rangasayee Kannan
- Rose Montgomery
- Sam Hollifield
- Samudra Dasgupta
- Sana Elyas
- Segun Isaac Talabi
- Shajjad Chowdhury
- Subhabrata Saha
- Thomas R Muth
- Todd Thomas
- Tolga Aytug
- Tomas Grejtak
- Vandana Rallabandi
- Varisara Tansakul
- Venugopal K Varma
- Xiuling Nie
- Yiyu Wang

The technology will offer supportless DIW of complex structures using vinyl ester resin, facilitated by multidirectional 6 axis printing.

We have developed a novel extrusion-based 3D printing technique that can achieve a resolution of 0.51 mm layer thickness, and catalyst loading of 44% and 90.5% before and after drying, respectively.

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

Wind turbine blades face a harsh environment in which erosion of the leading edge is a major factor for in-use maintenance. Current industrial practices to address this leading edge erosion are replacement of reinforcing materials upon significant damage infliction.

Through utilizing a two function splice we can increase the splice strength for opposing tows.
Contact:
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

The lattice collimator places a grid of shielding material in front of a radiation detector to reduce the effect of background from surrounding materials and to enhance the RPM sensitivity to point sources rather than distributed sources that are commonly associated with Natur

We proposed and developed a carbon nanofiber (CNF) suspension-based sizing agent, that resulted in improved interfacial, and mechanical properties. The CNF dispersed sizing agent can be applied in a relatively simpler way (by passing the continuous tow through it).

The technologies polymer cellulose nanocomposite mats and process for making same.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.