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Researcher
- Adam M Guss
- Vincent Paquit
- Josh Michener
- Liangyu Qian
- Ryan Dehoff
- Venkatakrishnan Singanallur Vaidyanathan
- Amir K Ziabari
- Andrzej Nycz
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- Jeff Foster
- John F Cahill
- Kuntal De
- Philip Bingham
- Philip Boudreaux
- Serena Chen
- Stephen M Killough
- Udaya C Kalluri
- Xiaohan Yang
- Akash Jag Prasad
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- Mark M Root
- Michael Kirka
- Nolan Hayes
- Obaid Rahman
- Paul Abraham
- Peter Wang
- Ryan Kerekes
- Sally Ghanem
- Vilmos Kertesz
- Vladimir Orlyanchik
- Yang Liu
- Zackary Snow

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

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.

We tested 48 diverse homologs of SfaB and identified several enzyme variants that were more active than SfaB at synthesizing the nylon-6,6 monomer.

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.

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

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.

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

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.

This technology identifies enzymatic routes to synthesize amide oligomers with defined sequence to improve polymerization of existing materials or enable polymerization of new materials. Polymers are generally composed of one (e.g. Nylon 6) or two (e.g.