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
- Daniel Jacobson
- Alexander I Wiechert
- Andrew F May
- Annetta Burger
- Ben Garrison
- Benjamin Manard
- Brad Johnson
- Carter Christopher
- Chance C Brown
- Charles F Weber
- Charlie Cook
- Christopher Hershey
- Costas Tsouris
- Craig Blue
- Daniel Rasmussen
- Debraj De
- Gautam Malviya Thakur
- Hsin Wang
- James Gaboardi
- James Klett
- Jesse McGaha
- Joanna Mcfarlane
- John Lindahl
- Jonathan Willocks
- Kevin Sparks
- Liz McBride
- Louise G Evans
- Matt Vick
- Mike Zach
- Nedim Cinbiz
- Richard L. Reed
- Todd Thomas
- Tony Beard
- Vandana Rallabandi
- Xiuling Nie

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.

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

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.

The technologies provide a system and method of needling of veiled AS4 fabric tape.

ORNL will develop an advanced high-performing RTG using a novel radioisotope heat source.