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Researcher
- Brian Post
- Peter Wang
- Andrzej Nycz
- Rafal Wojda
- Blane Fillingim
- Chris Masuo
- Peeyush Nandwana
- Prasad Kandula
- Sudarsanam Babu
- Thomas Feldhausen
- Yong Chae Lim
- Zhili Feng
- Ahmed Hassen
- Christopher Fancher
- J.R. R Matheson
- Jian Chen
- Joshua Vaughan
- Lauren Heinrich
- Rangasayee Kannan
- Vandana Rallabandi
- Wei Zhang
- Yousub Lee
- Adam Stevens
- Alex Plotkowski
- Alex Roschli
- Amit Shyam
- Brian Gibson
- Bryan Lim
- Cameron Adkins
- Chris Tyler
- Craig Blue
- Dali Wang
- David Olvera Trejo
- Gordon Robertson
- Isha Bhandari
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- Jiheon Jun
- John Lindahl
- John Potter
- Liam White
- Luke Meyer
- Marcio Magri Kimpara
- Michael Borish
- Mostak Mohammad
- Omer Onar
- Praveen Kumar
- Priyanshi Agrawal
- Ritin Mathews
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Scott Smith
- Shajjad Chowdhury
- Steven Guzorek
- Subho Mukherjee
- Suman Debnath
- Tomas Grejtak
- Vlastimil Kunc
- William Carter
- William Peter
- 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.

This manufacturing method uses multifunctional materials distributed volumetrically to generate a stiffness-based architecture, where continuous surfaces can be created from flat, rapidly produced geometries.

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.

A valve solution that prevents cross contamination while allowing for blocking multiple channels at once using only one actuator.

Materials produced via additive manufacturing, or 3D printing, can experience significant residual stress, distortion and cracking, negatively impacting the manufacturing process.

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.