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Researcher
- Andrzej Nycz
- Chris Masuo
- Michael Kirka
- Peter Wang
- Rangasayee Kannan
- Alex Walters
- Peeyush Nandwana
- Ryan Dehoff
- Yong Chae Lim
- Zhili Feng
- Adam Stevens
- Brian Gibson
- Brian Post
- Christopher Ledford
- Jian Chen
- Joshua Vaughan
- Luke Meyer
- Udaya C Kalluri
- Vincent Paquit
- Wei Zhang
- William Carter
- Akash Jag Prasad
- Alice Perrin
- Amir K Ziabari
- Amit Shyam
- Beth L Armstrong
- Bryan Lim
- Calen Kimmell
- Chelo Chavez
- Christopher Fancher
- Chris Tyler
- Clay Leach
- Corson Cramer
- Dali Wang
- Fred List III
- Gordon Robertson
- J.R. R Matheson
- James Klett
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- Jiheon Jun
- John Potter
- Keith Carver
- Patxi Fernandez-Zelaia
- Philip Bingham
- Priyanshi Agrawal
- Richard Howard
- Riley Wallace
- Ritin Mathews
- Roger G Miller
- Sarah Graham
- Steve Bullock
- Sudarsanam Babu
- Thomas Butcher
- Tomas Grejtak
- Trevor Aguirre
- Venkatakrishnan Singanallur Vaidyanathan
- Vladimir Orlyanchik
- William Peter
- Xiaohan Yang
- Yan-Ru Lin
- 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.

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

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.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

Creating a framework (method) for bots (agents) to autonomously, in real time, dynamically divide and execute a complex manufacturing (or any suitable) task in a collaborative, parallel-sequential way without required human interaction.

Materials produced via additive manufacturing, or 3D printing, can experience significant residual stress, distortion and cracking, negatively impacting the manufacturing process.
Red mud residue is an industrial waste product generated during the processing of bauxite ore to extract alumina for the steelmaking industry. Red mud is rich in minerals in bauxite like iron and aluminum oxide, but also heavy metals, including arsenic and mercury.