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Researcher
- Yong Chae Lim
- Zhili Feng
- Jian Chen
- Mike Zach
- Rangasayee Kannan
- Soydan Ozcan
- Wei Zhang
- Xianhui Zhao
- Adam Stevens
- Alex Roschli
- Andrew F May
- Annetta Burger
- Ben Garrison
- Brad Johnson
- Brian Post
- Bruce Moyer
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Charlie Cook
- Christopher Hershey
- Craig Blue
- Dali Wang
- Daniel Rasmussen
- Debjani Pal
- Debraj De
- Erin Webb
- Evin Carter
- Gautam Malviya Thakur
- Halil Tekinalp
- Hsin Wang
- James Gaboardi
- James Klett
- Jeffrey Einkauf
- Jennifer M Pyles
- Jeremy Malmstead
- Jesse McGaha
- Jiheon Jun
- John Lindahl
- Justin Griswold
- Kevin Sparks
- Kitty K Mccracken
- Kuntal De
- Laetitia H Delmau
- Liz McBride
- Luke Sadergaski
- Mengdawn Cheng
- Nedim Cinbiz
- Oluwafemi Oyedeji
- Padhraic L Mulligan
- Paula Cable-Dunlap
- Peeyush Nandwana
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Sandra Davern
- Sanjita Wasti
- Sarah Graham
- Sudarsanam Babu
- Todd Thomas
- Tomas Grejtak
- Tony Beard
- Tyler Smith
- William Peter
- Xiuling Nie
- Yiyu Wang
- Yukinori Yamamoto

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.

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

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

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.

The technologies provide a system and method of needling of veiled AS4 fabric tape.

We have developed an aerosol sampling technique to enable collection of trace materials such as actinides in the atmosphere.

Spherical powders applied to nuclear targetry for isotope production will allow for enhanced heat transfer properties, tailored thermal conductivity and minimize time required for target fabrication and post processing.