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
- Josh Michener
- Liangyu Qian
- Alex Roschli
- Brian Post
- Brian Sanders
- Cameron Adkins
- Debangshu Mukherjee
- Diana E Hun
- Gerald Tuskan
- Gina Accawi
- Gurneesh Jatana
- Ilenne Del Valle Kessra
- Isaiah Dishner
- Isha Bhandari
- Jeff Foster
- Jerry Parks
- John F Cahill
- Liam White
- Mark M Root
- Md Inzamam Ul Haque
- Michael Borish
- Olga S Ovchinnikova
- Paul Abraham
- Philip Boudreaux
- Serena Chen
- Venkatakrishnan Singanallur Vaidyanathan
- Vilmos Kertesz
- Xiaohan Yang
- Yang Liu

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.

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

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.

Direct-acting antivirals are needed to combat coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2).

There is a critical need for new antiviral drugs for treating infections of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2).

The invention provides on-line analysis of droplets for mass spectrometry.

This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.