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Researcher
- Edgar Lara-Curzio
- Amit K Naskar
- Yong Chae Lim
- Zhili Feng
- Eric Wolfe
- Frederic Vautard
- Jaswinder Sharma
- Jian Chen
- Logan Kearney
- Michael Toomey
- Nihal Kanbargi
- Rangasayee Kannan
- Steven J Zinkle
- Wei Zhang
- Yanli Wang
- Ying Yang
- Yutai Kato
- Adam Stevens
- Adam Willoughby
- Arit Das
- Benjamin L Doughty
- Bishnu Prasad Thapaliya
- Brandon Johnston
- Brian Post
- Bruce A Pint
- Bryan Lim
- Charles Hawkins
- Christopher Bowland
- Dali Wang
- Felix L Paulauskas
- Holly Humphrey
- Jiheon Jun
- Marie Romedenne
- Nidia Gallego
- Peeyush Nandwana
- Priyanshi Agrawal
- Rishi Pillai
- Robert E Norris Jr
- Roger G Miller
- Ryan Dehoff
- Santanu Roy
- Sarah Graham
- Sudarsanam Babu
- Sumit Gupta
- Tim Graening Seibert
- Tomas Grejtak
- Uvinduni Premadasa
- Vera Bocharova
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Yiyu Wang
- Yukinori Yamamoto

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

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.

V-Cr-Ti alloys have been proposed as candidate structural materials in fusion reactor blanket concepts with operation temperatures greater than that for reduced activation ferritic martensitic steels (RAFMs).

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 microreactor design addresses the need to understand molten salt-assisted electrochemical processes at a controlled scale, enabling real-time observation of structural changes and kinetics.

With the ever-growing reliance on batteries, the need for the chemicals and materials to produce these batteries is also growing accordingly. One area of critical concern is the need for high quality graphite to ensure adequate energy storage capacity and battery stability.

Test facilities to evaluate materials compatibility in hydrogen are abundant for high pressure and low temperature (<100C).