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Researcher
- Amit K Naskar
- Srikanth Yoginath
- James J Nutaro
- Jaswinder Sharma
- Logan Kearney
- Michael Toomey
- Nihal Kanbargi
- Pratishtha Shukla
- Sudip Seal
- Ali Passian
- Arit Das
- Benjamin L Doughty
- Bryan Lim
- Callie Goetz
- Christopher Bowland
- Christopher Hobbs
- Eddie Lopez Honorato
- Edgar Lara-Curzio
- Felix L Paulauskas
- Frederic Vautard
- Fred List III
- Harper Jordan
- Holly Humphrey
- Joel Asiamah
- Joel Dawson
- Keith Carver
- Matt Kurley III
- Nance Ericson
- Pablo Moriano Salazar
- Peeyush Nandwana
- Rangasayee Kannan
- Richard Howard
- Robert E Norris Jr
- Rodney D Hunt
- Ryan Heldt
- Santanu Roy
- Sumit Gupta
- Thomas Butcher
- Tomas Grejtak
- Tyler Gerczak
- Uvinduni Premadasa
- Varisara Tansakul
- Vera Bocharova
- Yiyu Wang

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 pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

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.

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.

Sintering additives to improve densification and microstructure control of UN provides a facile approach to producing high quality nuclear fuels.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

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.