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Researcher
- Brian Post
- Chris Tyler
- Adam M Guss
- Andrzej Nycz
- Justin West
- Peter Wang
- Chris Masuo
- Ritin Mathews
- Blane Fillingim
- Peeyush Nandwana
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- J.R. R Matheson
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- Kuntal De
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- Cameron Adkins
- Carrie Eckert
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- Christopher Ledford
- Clay Leach
- Corson Cramer
- Craig Blue
- Debjani Pal
- Diana E Hun
- Emma Betters
- Fred List III
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- Gina Accawi
- Gordon Robertson
- Greg Corson
- Gurneesh Jatana
- Ilenne Del Valle Kessra
- Isaiah Dishner
- Isha Bhandari
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- Trevor Aguirre
- Vilmos Kertesz
- Vladimir Orlyanchik
- Vlastimil Kunc
- William Peter
- Yang Liu
- Yukinori Yamamoto

ORNL researchers have developed a deep learning-based approach to rapidly perform high-quality reconstructions from sparse X-ray computed tomography measurements.

By engineering the Serine Integrase Assisted Genome Engineering (SAGE) genetic toolkit in an industrial strain of Aspergillus niger, we have established its proof of principle for applicability in Eukaryotes.

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).

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

This manufacturing method uses multifunctional materials distributed volumetrically to generate a stiffness-based architecture, where continuous surfaces can be created from flat, rapidly produced geometries.

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.

We present a comprehensive muti-technique approach for systematic investigation of enzymes generated by wastewater Comamonas species with hitherto unknown functionality to wards the depolymerization of plastics into bioaccessible products for bacterial metabolism.

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.

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.