Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (26)
- Computing and Computational Sciences Directorate (38)
- Energy Science and Technology Directorate
(223)
- Fusion and Fission Energy and Science Directorate
(24)
- Information Technology Services Directorate (3)
- Isotope Science and Enrichment Directorate (7)
- National Security Sciences Directorate (20)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (135)
- User Facilities (27)
Researcher
- Adam M Guss
- Josh Michener
- Liangyu Qian
- Venkatakrishnan Singanallur Vaidyanathan
- Vincent Paquit
- Amir K Ziabari
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Daniel Jacobson
- Diana E Hun
- Isaiah Dishner
- Jeff Foster
- John F Cahill
- Kuntal De
- Philip Bingham
- Philip Boudreaux
- Ryan Dehoff
- Serena Chen
- Stephen M Killough
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Alexander Enders
- Alexander I Wiechert
- Alex Walters
- Austin Carroll
- Benjamin Manard
- Brian Sanders
- Bryan Maldonado Puente
- Charles F Weber
- Chris Masuo
- Christopher S Blessinger
- Clay Leach
- Corey Cooke
- Costas Tsouris
- Debjani Pal
- Gerald Tuskan
- Gina Accawi
- Govindarajan Muralidharan
- Gurneesh Jatana
- Ilenne Del Valle Kessra
- Isaac Sikkema
- Jay D Huenemann
- Jerry Parks
- Joanna Mcfarlane
- Joanna Tannous
- Jonathan Willocks
- Joseph Olatt
- Junghyun Bae
- Kunal Mondal
- Kyle Davis
- Mahim Mathur
- Mark M Root
- Matt Vick
- Michael Kirka
- Mingyan Li
- Nandhini Ashok
- Nolan Hayes
- Obaid Rahman
- Oscar Martinez
- Paul Abraham
- Peter Wang
- Rose Montgomery
- Ryan Kerekes
- Sally Ghanem
- Sam Hollifield
- Thomas R Muth
- Vandana Rallabandi
- Venugopal K Varma
- Yang Liu
- Yasemin Kaygusuz

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

Mechanism-Based Trait Inference in Plants Using Multiplex Networks, AI Agents, and Translation Tools
This system enables the modular design and optimization of complex plant traits by organizing genes and regulatory mechanisms into interpretable clades.

Mechanism-Based Biological Inference via Multiplex Networks, AI Agents and Cross-Species Translation
This invention provides a platform that uses AI agents and biological networks to uncover and interpret disease-relevant biological mechanisms.

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.

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

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.

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

The lattice collimator places a grid of shielding material in front of a radiation detector to reduce the effect of background from surrounding materials and to enhance the RPM sensitivity to point sources rather than distributed sources that are commonly associated with Natur

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.