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Researcher
- Ahmed Hassen
- Vlastimil Kunc
- Steve Bullock
- Soydan Ozcan
- Steven Guzorek
- Corson Cramer
- Vipin Kumar
- Halil Tekinalp
- Meghan Lamm
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- Sergei V Kalinin
- Uday Vaidya
- Umesh N MARATHE
- Yongtao Liu
- Beth L Armstrong
- Dan Coughlin
- Greg Larsen
- James Klett
- Katie Copenhaver
- Kevin M Roccapriore
- Maxim A Ziatdinov
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- Ben Lamm
- Cait Clarkson
- Charlie Cook
- Christopher Hershey
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- Dustin Gilmer
- Erin Webb
- Evin Carter
- Gabriel Veith
- Gerd Duscher
- Jeremy Malmstead
- Jesse Heineman
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- Julian Charron
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- Kim Sitzlar
- Kitty K Mccracken
- Komal Chawla
- Liam Collins
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- Marm Dixit
- Marti Checa Nualart
- Merlin Theodore
- Michael Kirka
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Oluwafemi Oyedeji
- Paritosh Mhatre
- Ryan Ogle
- Sai Mani Prudhvi Valleti
- Sana Elyas
- Shajjad Chowdhury
- Stephen Jesse
- Sudarsanam Babu
- Sumner Harris
- Thomas Feldhausen
- Tolga Aytug
- Tomonori Saito
- Tony Beard
- Utkarsh Pratiush

This invention focuses on improving the ceramic yield of preceramic polymers by tuning the crosslinking process that occurs during vat photopolymerization (VP).

The technologies polymer cellulose nanocomposite mats and process for making same.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

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.

Scanning transmission electron microscopes are useful for a variety of applications. Atomic defects in materials are critical for areas such as quantum photonics, magnetic storage, and catalysis.

This invention introduces a continuous composite forming process that produces large parts with variable cross-sections and shapes, exceeding the size of the forming machine itself.

Using all polymer formulations, the PIP densification is improved almost 70% over traditional preceramic polymers and PIP material leading to cost and times saving for densifying ceramic composites made from powder or fibers.

The technologies provide a system and method of needling of veiled AS4 fabric tape.

A human-in-the-loop machine learning (hML) technology potentially enhances experimental workflows by integrating human expertise with AI automation.