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Researcher
- Ahmed Hassen
- Vlastimil Kunc
- Steven Guzorek
- Vipin Kumar
- Brian Post
- David Nuttall
- Dan Coughlin
- Nadim Hmeidat
- Soydan Ozcan
- Steve Bullock
- Tyler Smith
- Yong Chae Lim
- Zhili Feng
- Adam Stevens
- Brittany Rodriguez
- Jian Chen
- Jim Tobin
- Pum Kim
- Rangasayee Kannan
- Segun Isaac Talabi
- Subhabrata Saha
- Sudarsanam Babu
- Uday Vaidya
- Umesh N MARATHE
- Wei Zhang
- Alex Roschli
- Bryan Lim
- Craig Blue
- Dali Wang
- Erin Webb
- Evin Carter
- Georges Chahine
- Halil Tekinalp
- Huixin (anna) Jiang
- Jamieson Brechtl
- Jeremy Malmstead
- Jiheon Jun
- John Lindahl
- Josh Crabtree
- Julian Charron
- Kai Li
- Kashif Nawaz
- Katie Copenhaver
- Kim Sitzlar
- Kitty K Mccracken
- Komal Chawla
- Merlin Theodore
- Oluwafemi Oyedeji
- Peeyush Nandwana
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Ryan Ogle
- Sana Elyas
- Sarah Graham
- Thomas Feldhausen
- Tomas Grejtak
- William Peter
- Xianhui Zhao
- Xiaobing Liu
- Yiyu Wang
- Yukinori Yamamoto

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

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

This manufacturing method uses multifunctional materials distributed volumetrically to generate a stiffness-based architecture, where continuous surfaces can be created from flat, rapidly produced geometries.

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.

Reflective and emissive surfaces are designed with heat retention as opposed to the current state of the art oven and furnaces which use non-reflective surfaces. Heat is absorbed and transferred to the exterior of the heated appliances.

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

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.