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Researcher
- Amit K Naskar
- Srikanth Yoginath
- James J Nutaro
- Jaswinder Sharma
- Logan Kearney
- Michael Toomey
- Mike Zach
- Nihal Kanbargi
- Pratishtha Shukla
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- Ali Passian
- Andrew F May
- Annetta Burger
- Arit Das
- Ben Garrison
- Benjamin L Doughty
- Brad Johnson
- Bruce Moyer
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Charlie Cook
- Christopher Bowland
- Christopher Hershey
- Craig Blue
- Daniel Rasmussen
- Debjani Pal
- Debraj De
- Edgar Lara-Curzio
- Felix L Paulauskas
- Frederic Vautard
- Gautam Malviya Thakur
- Harper Jordan
- Holly Humphrey
- Hsin Wang
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- James Klett
- Jeffrey Einkauf
- Jennifer M Pyles
- Jesse McGaha
- Joel Asiamah
- Joel Dawson
- John Lindahl
- Justin Griswold
- Kevin Sparks
- Kuntal De
- Laetitia H Delmau
- Liz McBride
- Luke Sadergaski
- Nance Ericson
- Nedim Cinbiz
- Pablo Moriano Salazar
- Padhraic L Mulligan
- Peeyush Nandwana
- Rangasayee Kannan
- Robert E Norris Jr
- Sandra Davern
- Santanu Roy
- Sumit Gupta
- Todd Thomas
- Tomas Grejtak
- Tony Beard
- Uvinduni Premadasa
- Varisara Tansakul
- Vera Bocharova
- Xiuling Nie
- Yiyu Wang

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

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

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.

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

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.

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.

The technologies provide a system and method of needling of veiled AS4 fabric tape.