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Researcher
- Ahmed Hassen
- Brian Post
- Vlastimil Kunc
- Vandana Rallabandi
- Andrzej Nycz
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- Subho Mukherjee
- Vipin Kumar
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- Costas Tsouris
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- Michelle Kidder
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- Uday Vaidya
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- Mostak Mohammad
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- Philip Boudreaux
- Rangasayee Kannan
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- Venkatakrishnan Singanallur Vaidyanathan
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- Xianhui Zhao
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- Yeonshil Park
- Ying Yang
- Yukinori Yamamoto
- Zackary Snow

Distortion generated during additive manufacturing of metallic components affect the build as well as the baseplate geometries. These distortions are significant enough to disqualify components for functional purposes.

Technologies directed to an LCC based induction cooktop architecture for non-ferromagnetic pan are described.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

The hybrid powder-encapsulated solvent over comes carbon capture challenges by providing a solution for easy handling of a non-toxic solid that is non-volatile and stable upon alternative energy regeneration methods.

For additive manufacturing of large-scale parts, significant distortion can result from residual stresses during deposition and cooling. This can result in part scraps if the final part geometry is not contained in the additively manufactured preform.

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.

This technology allows for the utilization of butanediol isomers to form a range of C4 oxygenated compounds as renewably sourced feedstocks for fuels and chemicals production in a range of industrial applications.

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.

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