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Researcher
- Yong Chae Lim
- Zhili Feng
- Jian Chen
- Rangasayee Kannan
- Soydan Ozcan
- Stephen M Killough
- Wei Zhang
- Xianhui Zhao
- Adam Stevens
- Alex Roschli
- Brian Post
- Bryan Lim
- Bryan Maldonado Puente
- Corey Cooke
- Dali Wang
- Diana E Hun
- Erin Webb
- Evin Carter
- Halil Tekinalp
- Jeremy Malmstead
- Jiheon Jun
- John Holliman II
- Kitty K Mccracken
- Mengdawn Cheng
- Nolan Hayes
- Oluwafemi Oyedeji
- Paula Cable-Dunlap
- Peeyush Nandwana
- Peter Wang
- Philip Boudreaux
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Ryan Kerekes
- Sally Ghanem
- Sanjita Wasti
- Sarah Graham
- Sudarsanam Babu
- Tomas Grejtak
- Tyler Smith
- William Peter
- Yiyu Wang
- Yukinori Yamamoto

How fast is a vehicle traveling? For different reasons, this basic question is of interest to other motorists, insurance companies, law enforcement, traffic planners, and security personnel. Solutions to this measurement problem suffer from a number of constraints.

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.

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.

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

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

The technologies provide a coating method to produce corrosion resistant and electrically conductive coating layer on metallic bipolar plates for hydrogen fuel cell and hydrogen electrolyzer applications.

Welding high temperature and/or high strength materials for aerospace or automobile manufacturing is challenging.