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Researcher
- Amit K Naskar
- Brian Post
- Peeyush Nandwana
- Sudarsanam Babu
- Yong Chae Lim
- Zhili Feng
- Blane Fillingim
- Jaswinder Sharma
- Jian Chen
- Lauren Heinrich
- Logan Kearney
- Michael Toomey
- Nihal Kanbargi
- Rangasayee Kannan
- Thomas Feldhausen
- Wei Zhang
- Yousub Lee
- Adam Stevens
- Alexander I Wiechert
- Arit Das
- Benjamin L Doughty
- Bryan Lim
- Christopher Bowland
- Costas Tsouris
- Dali Wang
- Debangshu Mukherjee
- Edgar Lara-Curzio
- Felix L Paulauskas
- Frederic Vautard
- Gs Jung
- Gyoung Gug Jang
- Holly Humphrey
- Jiheon Jun
- Md Inzamam Ul Haque
- Olga S Ovchinnikova
- Priyanshi Agrawal
- Radu Custelcean
- Ramanan Sankaran
- Robert E Norris Jr
- Roger G Miller
- Ryan Dehoff
- Santanu Roy
- Sarah Graham
- Sumit Gupta
- Tomas Grejtak
- Uvinduni Premadasa
- Vera Bocharova
- Vimal Ramanuj
- Wenjun Ge
- William Peter
- 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.

Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.

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.

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.

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.