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Researcher
- Soydan Ozcan
- Xianhui Zhao
- Adam Siekmann
- Alex Roschli
- Dali Wang
- Erin Webb
- Evin Carter
- Fred List III
- Halil Tekinalp
- Hong Wang
- Hyeonsup Lim
- Jeremy Malmstead
- Jian Chen
- Keith Carver
- Kitty K Mccracken
- Mengdawn Cheng
- Oluwafemi Oyedeji
- Paula Cable-Dunlap
- Richard Howard
- Sanjita Wasti
- Thomas Butcher
- Tyler Smith
- Vivek Sujan
- Wei Zhang
- Zhili Feng

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 pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

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 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.

No readily available public data exists for vehicle class and weight information that covers the entire U.S. highway network. The Travel Monitoring Analysis System, managed by the Federal Highway Administration covers only less than 1% of the US highway network.

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

Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.