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
- Rama K Vasudevan
- Josh Michener
- Sergei V Kalinin
- Yongtao Liu
- Benjamin Manard
- Kevin M Roccapriore
- Liangyu Qian
- Maxim A Ziatdinov
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Cyril Thompson
- Daniel Jacobson
- Isaiah Dishner
- Jeff Foster
- John F Cahill
- Kuntal De
- Kyle Kelley
- Serena Chen
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Alexander I Wiechert
- Alex Walters
- Anton Ievlev
- Arpan Biswas
- Austin L Carroll
- Brian Sanders
- Charles F Weber
- Chris Masuo
- Clay Leach
- Costas Tsouris
- Debjani Pal
- Gerald Tuskan
- Gerd Duscher
- Ilenne Del Valle Kessra
- Jay D Huenemann
- Jerry Parks
- Joanna Mcfarlane
- Joanna Tannous
- Jonathan Willocks
- Kyle Davis
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Matt Vick
- Nandhini Ashok
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Paul Abraham
- Sai Mani Prudhvi Valleti
- Stephen Jesse
- Sumner Harris
- Utkarsh Pratiush
- Vandana Rallabandi
- Vincent Paquit
- Yang Liu
- Yasemin Kaygusuz

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.

Dual-GP addresses limitations in traditional GPBO-driven autonomous experimentation by incorporating an additional surrogate observer and allowing human oversight, this technique improves optimization efficiency via data quality assessment and adaptability to unanticipated exp

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 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.

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

Scanning transmission electron microscopes are useful for a variety of applications. Atomic defects in materials are critical for areas such as quantum photonics, magnetic storage, and catalysis.