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Researcher
- Andrzej Nycz
- Chris Masuo
- Peter Wang
- Alex Walters
- Brian Gibson
- Joshua Vaughan
- Luke Meyer
- Soydan Ozcan
- Udaya C Kalluri
- William Carter
- Xianhui Zhao
- Xiaohan Yang
- Akash Jag Prasad
- Alex Roschli
- Amit Shyam
- Brian Post
- Brian Sanders
- Calen Kimmell
- Chelo Chavez
- Christopher Fancher
- Chris Tyler
- Clay Leach
- Dali Wang
- Erin Webb
- Evin Carter
- Gerald Tuskan
- Gordon Robertson
- Halil Tekinalp
- Ilenne Del Valle Kessra
- Isaiah Dishner
- J.R. R Matheson
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jeff Foster
- Jeremy Malmstead
- Jerry Parks
- Jesse Heineman
- Jian Chen
- John F Cahill
- John Potter
- Josh Michener
- Kitty K Mccracken
- Liangyu Qian
- Mengdawn Cheng
- Oluwafemi Oyedeji
- Paul Abraham
- Paula Cable-Dunlap
- Riley Wallace
- Ritin Mathews
- Sanjita Wasti
- Tyler Smith
- Vilmos Kertesz
- Vincent Paquit
- Vladimir Orlyanchik
- Wei Zhang
- Yang Liu
- Zhili Feng

We have developed a novel extrusion-based 3D printing technique that can achieve a resolution of 0.51 mm layer thickness, and catalyst loading of 44% and 90.5% before and after drying, respectively.

Enzymes for synthesis of sequenced oligoamide triads and tetrads that can be polymerized into sequenced copolyamides.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

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.

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

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

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.

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

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