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
- Srikanth Yoginath
- Daniel Jacobson
- James J Nutaro
- Pratishtha Shukla
- Sudip Seal
- Alexander I Kolesnikov
- Alexei P Sokolov
- Ali Passian
- Bekki Mills
- Harper Jordan
- Joel Asiamah
- Joel Dawson
- John Wenzel
- Keju An
- Mark Loguillo
- Matthew B Stone
- Nance Ericson
- Shannon M Mahurin
- Tao Hong
- Tomonori Saito
- Varisara Tansakul
- Victor Fanelli

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.

Neutron scattering experiments cover a large temperature range in which experimenters want to test their samples.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

Neutron beams are used around the world to study materials for various purposes.
