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Researcher
- Amit Shyam
- Alex Plotkowski
- Rafal Wojda
- Prasad Kandula
- Yong Chae Lim
- Zhili Feng
- Christopher Fancher
- James A Haynes
- Jian Chen
- Peeyush Nandwana
- Rangasayee Kannan
- Ryan Dehoff
- Sumit Bahl
- Vandana Rallabandi
- Wei Zhang
- Adam Stevens
- Alice Perrin
- Andres Marquez Rossy
- Brian Post
- Bryan Lim
- Dali Wang
- Dean T Pierce
- Gerry Knapp
- Gordon Robertson
- Jay Reynolds
- Jeff Brookins
- Jiheon Jun
- Jovid Rakhmonov
- Marcio Magri Kimpara
- Mostak Mohammad
- Nicholas Richter
- Omer Onar
- Peter Wang
- Praveen Kumar
- Priyanshi Agrawal
- Roger G Miller
- Sarah Graham
- Shajjad Chowdhury
- Subho Mukherjee
- Sudarsanam Babu
- Suman Debnath
- Sunyong Kwon
- 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.

Misalignment issues of the PWPT system have been addressed. The intercell power transformer has been introduced in order to improve load sharing of the system during a mismatch of the primary single-phase coil and the secondary multi-phase coils.

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

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.

An ORNL invention proposes using 3D printing to make conductors with space-filling thin-wall cross sections. Space-filling thin-wall profiles will maximize the conductor volume while restricting the path for eddy currents induction.