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Researcher
- Soydan Ozcan
- Halil Tekinalp
- Meghan Lamm
- Vlastimil Kunc
- Ahmed Hassen
- Umesh N MARATHE
- Dan Coughlin
- Katie Copenhaver
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- Uday Vaidya
- Vipin Kumar
- Yong Chae Lim
- Zhili Feng
- Alex Roschli
- Beth L Armstrong
- Brian Post
- Chad Steed
- David Nuttall
- Georges Chahine
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- Junghoon Chae
- Matt Korey
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- Pum Kim
- Rangasayee Kannan
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- Xianhui Zhao
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- Cait Clarkson
- Dali Wang
- Erin Webb
- Evin Carter
- Gabriel Veith
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- Jesse Heineman
- Jiheon Jun
- Jim Tobin
- Josh Crabtree
- Khryslyn G Araño
- Kim Sitzlar
- Kitty K Mccracken
- Marm Dixit
- Oluwafemi Oyedeji
- Paritosh Mhatre
- Peeyush Nandwana
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Samudra Dasgupta
- Sana Elyas
- Sarah Graham
- Segun Isaac Talabi
- Shajjad Chowdhury
- Subhabrata Saha
- Sudarsanam Babu
- Tolga Aytug
- Tomas Grejtak
- William Peter
- Yiyu Wang
- Yukinori Yamamoto

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.

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

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.

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).

This invention is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi

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.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.