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
- Chad Steed
- Junghoon Chae
- Travis Humble
- Alexandre Sorokine
- Annetta Burger
- Callie Goetz
- Carter Christopher
- Chance C Brown
- Clinton Stipek
- Daniel Adams
- Debraj De
- Gautam Malviya Thakur
- James Gaboardi
- Jesse McGaha
- Jessica Moehl
- Kevin Sparks
- Liz McBride
- Philipe Ambrozio Dias
- Samudra Dasgupta
- Taylor Hauser
- Todd Thomas
- Viswadeep Lebakula
- Xiuling Nie

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

Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modelling building height at scale are hindered by two pervasive issues.

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.

This technology is a strategy for decreasing electromagnetic interference and boosting signal fidelity for low signal-to-noise sensors transmitting over long distances in extreme environments, such as nuclear energy generation applications, particularly for particle detection.