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Researcher
- Andrzej Nycz
- Chris Masuo
- Peter Wang
- Alex Walters
- Amit K Naskar
- Joshua Vaughan
- Luke Meyer
- William Carter
- Brian Gibson
- Jaswinder Sharma
- Logan Kearney
- Michael Toomey
- Nihal Kanbargi
- Udaya C Kalluri
- Akash Jag Prasad
- Alexander I Kolesnikov
- Alexei P Sokolov
- Amit Shyam
- Arit Das
- Bekki Mills
- Benjamin L Doughty
- Bruce Hannan
- Calen Kimmell
- Chelo Chavez
- Christopher Bowland
- Christopher Fancher
- Chris Tyler
- Clay Leach
- Dave Willis
- Edgar Lara-Curzio
- Felix L Paulauskas
- Frederic Vautard
- Gordon Robertson
- Holly Humphrey
- J.R. R Matheson
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- John Potter
- John Wenzel
- Keju An
- Loren L Funk
- Luke Chapman
- Mark Loguillo
- Matthew B Stone
- Polad Shikhaliev
- Riley Wallace
- Ritin Mathews
- Robert E Norris Jr
- Santanu Roy
- Shannon M Mahurin
- Sumit Gupta
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Tomonori Saito
- Uvinduni Premadasa
- Vasilis Tzoganis
- Vasiliy Morozov
- Vera Bocharova
- Victor Fanelli
- Vincent Paquit
- Vladimir Orlyanchik
- Vladislav N Sedov
- Xiaohan Yang
- Yacouba Diawara
- Yun Liu

Efficient thermal management in polymers is essential for developing lightweight, high-strength materials with multifunctional capabilities.

The disclosure is directed to optimized fiber geometries for use in carbon fiber reinforced polymers with increased compressive strength per unit cost. The disclosed fiber geometries reduce the material processing costs as well as increase the compressive strength.

We presented a novel apparatus and method for laser beam position detection and pointing stabilization using analog position-sensitive diodes (PSDs).

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 novel and cost-effective process for the activation of carbon fibers was established.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

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.

ORNL has developed a large area thermal neutron detector based on 6LiF/ZnS(Ag) scintillator coupled with wavelength shifting fibers. The detector uses resistive charge divider-based position encoding.

Neutron scattering experiments cover a large temperature range in which experimenters want to test their samples.

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.