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Researcher
- Amit Shyam
- Alex Plotkowski
- Yong Chae Lim
- Zhili Feng
- Alexey Serov
- James A Haynes
- Jaswinder Sharma
- Jian Chen
- Peeyush Nandwana
- Rangasayee Kannan
- Ryan Dehoff
- Sumit Bahl
- Wei Zhang
- Xiang Lyu
- Adam Stevens
- Alice Perrin
- Amit K Naskar
- Andres Marquez Rossy
- Beth L Armstrong
- Brian Post
- Bryan Lim
- Christopher Fancher
- Dali Wang
- Dean T Pierce
- Gabriel Veith
- Georgios Polyzos
- Gerry Knapp
- Gordon Robertson
- Holly Humphrey
- James Szybist
- Jay Reynolds
- Jeff Brookins
- Jiheon Jun
- Jonathan Willocks
- Jovid Rakhmonov
- Junbin Choi
- Khryslyn G Araño
- Logan Kearney
- Marm Dixit
- Meghan Lamm
- Michael Toomey
- Michelle Lehmann
- Nicholas Richter
- Nihal Kanbargi
- Peter Wang
- Priyanshi Agrawal
- Ritu Sahore
- Roger G Miller
- Sarah Graham
- Sudarsanam Babu
- Sunyong Kwon
- Todd Toops
- Tomas Grejtak
- William Peter
- Ying Yang
- Yiyu Wang
- Yukinori Yamamoto

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

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.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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

An electrochemical cell has been specifically designed to maximize CO2 release from the seawater while also not changing the pH of the seawater before returning to the sea.

The ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.

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.

Hydrogen is in great demand, but production relies heavily on hydrocarbons utilization. This process contributes greenhouse gases release into the atmosphere.