Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (29)
- Computing and Computational Sciences Directorate (39)
- Energy Science and Technology Directorate (229)
- 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 (138)
- User Facilities (28)
Researcher
- Anees Alnajjar
- Sam Hollifield
- Chad Steed
- Daniel Jacobson
- Junghoon Chae
- Mingyan Li
- Nageswara Rao
- Travis Humble
- Aaron Werth
- Ali Passian
- Brian Weber
- Craig A Bridges
- Emilio Piesciorovsky
- Gary Hahn
- Harper Jordan
- Isaac Sikkema
- Jason Jarnagin
- Joel Asiamah
- Joel Dawson
- Joseph Olatt
- Kevin Spakes
- Kunal Mondal
- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Mariam Kiran
- Mark Provo II
- Mary A Adkisson
- Nance Ericson
- Oscar Martinez
- Raymond Borges Hink
- Rob Root
- Samudra Dasgupta
- Sheng Dai
- Srikanth Yoginath
- T Oesch
- Varisara Tansakul
- Yarom Polsky

The eDICEML digital twin is proposed which emulates networks and hosts of an instrument-computing ecosystem. It runs natively on an ecosystem’s host or as a portable virtual machine.

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.

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

The ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.

Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.

Modern automobiles are operated by small computers that communicate critical information via a broadcast-based network architecture called controller area network (CAN).