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Researcher
- Amit K Naskar
- Yong Chae Lim
- Zhili Feng
- Jaswinder Sharma
- Jian Chen
- Logan Kearney
- Michael Toomey
- Nihal Kanbargi
- Rangasayee Kannan
- Soydan Ozcan
- Wei Zhang
- Xianhui Zhao
- Adam Stevens
- Alex Roschli
- Arit Das
- Benjamin L Doughty
- Brian Post
- Bryan Lim
- Christopher Bowland
- Dali Wang
- Edgar Lara-Curzio
- Erin Webb
- Evin Carter
- Felix L Paulauskas
- Frederic Vautard
- Halil Tekinalp
- Holly Humphrey
- Jeremy Malmstead
- Jiheon Jun
- Kitty K Mccracken
- Mengdawn Cheng
- Oluwafemi Oyedeji
- Paula Cable-Dunlap
- Peeyush Nandwana
- Priyanshi Agrawal
- Robert E Norris Jr
- Roger G Miller
- Ryan Dehoff
- Sanjita Wasti
- Santanu Roy
- Sarah Graham
- Sudarsanam Babu
- Sumit Gupta
- Tomas Grejtak
- Tyler Smith
- Uvinduni Premadasa
- Vera Bocharova
- William Peter
- Yiyu Wang
- Yukinori Yamamoto

Efficient thermal management in polymers is essential for developing lightweight, high-strength materials with multifunctional capabilities.

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.

The disclosure is directed to optimized fiber geometries for use in carbon fiber reinforced polymers with increased compressive strength per unit cost. The disclosed fiber geometries reduce the material processing costs as well as increase the compressive strength.

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

A novel and cost-effective process for the activation of carbon fibers was established.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

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.

ORNL contributes to developing the concept of passive CO2 DAC by designing and testing a hybrid sorption system. This design aims to leverage the advantages of CO2 solubility and selectivity offered by materials with selective sorption of adsorbents.

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