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Researcher
- Beth L Armstrong
- Alex Plotkowski
- Amit K Naskar
- Amit Shyam
- Jaswinder Sharma
- Jun Qu
- Srikanth Yoginath
- Anees Alnajjar
- Corson Cramer
- James A Haynes
- James J Nutaro
- Logan Kearney
- Meghan Lamm
- Michael Toomey
- Nihal Kanbargi
- Peeyush Nandwana
- Pratishtha Shukla
- Sergiy Kalnaus
- Steve Bullock
- Sudip Seal
- Sumit Bahl
- Tomas Grejtak
- Alice Perrin
- Ali Passian
- Andres Marquez Rossy
- Arit Das
- Benjamin L Doughty
- Ben Lamm
- Bryan Lim
- Christopher Bowland
- Christopher Ledford
- Craig A Bridges
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- Edgar Lara-Curzio
- Ethan Self
- Felix L Paulauskas
- Frederic Vautard
- Gabriel Veith
- Georgios Polyzos
- Gerry Knapp
- Harper Jordan
- Holly Humphrey
- James Klett
- Joel Asiamah
- Joel Dawson
- Jordan Wright
- Jovid Rakhmonov
- Khryslyn G Araño
- Mariam Kiran
- Marm Dixit
- Matthew S Chambers
- Michael Kirka
- Nageswara Rao
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Rangasayee Kannan
- Robert E Norris Jr
- Ryan Dehoff
- Santanu Roy
- Shajjad Chowdhury
- Sheng Dai
- Sumit Gupta
- Sunyong Kwon
- Tolga Aytug
- Trevor Aguirre
- Uvinduni Premadasa
- Varisara Tansakul
- Vera Bocharova
- Ying Yang
- 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.

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

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.

We developed and incorporated two innovative mPET/Cu and mPET/Al foils as current collectors in LIBs to enhance cell energy density under XFC conditions.

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.