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Researcher
- Sheng Dai
- Parans Paranthaman
- Bishnu Prasad Thapaliya
- Zhenzhen Yang
- Amit K Naskar
- Craig A Bridges
- Edgar Lara-Curzio
- Shannon M Mahurin
- Yong Chae Lim
- Zhili Feng
- Frederic Vautard
- Ilja Popovs
- Jaswinder Sharma
- Jian Chen
- Li-Qi Qiu
- Logan Kearney
- Michael Toomey
- Nihal Kanbargi
- Rangasayee Kannan
- Saurabh Prakash Pethe
- Tolga Aytug
- Uday Vaidya
- Wei Zhang
- Adam Stevens
- Ahmed Hassen
- Alexei P Sokolov
- Anees Alnajjar
- Arit Das
- Benjamin L Doughty
- Ben Lamm
- Beth L Armstrong
- Brian Post
- Bruce Moyer
- Bryan Lim
- Christopher Bowland
- Dali Wang
- Eric Wolfe
- Felix L Paulauskas
- Holly Humphrey
- Jayanthi Kumar
- Jiheon Jun
- Kaustubh Mungale
- Meghan Lamm
- Nageswara Rao
- Nidia Gallego
- Peeyush Nandwana
- Phillip Halstenberg
- Priyanshi Agrawal
- Robert E Norris Jr
- Roger G Miller
- Ryan Dehoff
- Santa Jansone-Popova
- Santanu Roy
- Sarah Graham
- Shajjad Chowdhury
- Subhamay Pramanik
- Sudarsanam Babu
- Sumit Gupta
- Tao Hong
- Tomas Grejtak
- Tomonori Saito
- Uvinduni Premadasa
- Vera Bocharova
- Vlastimil Kunc
- 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 strategy was developed to solve the limitations of the current sorbent systems in CO2 chemisorption in terms of energy consumption in CO2 release and improved CO2 uptake capacity.

This invention introduces a novel sintering approach to produce hard carbon with a finely tuned microstructure, derived from biomass and plastic waste.

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

The increasing demand for high-purity lanthanides, essential for advanced technologies such as electronics, renewable energy, and medical applications, presents a significant challenge due to their similar chemical properties.

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.

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.