Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (23)
- Computing and Computational Sciences Directorate (35)
- Energy Science and Technology Directorate (217)
- Fusion and Fission Energy and Science Directorate (21)
- Information Technology Services Directorate (2)
- Isotope Science and Enrichment Directorate (6)
- National Security Sciences Directorate (17)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (128)
- User Facilities
(27)
Researcher
- William Carter
- Alex Roschli
- Andrzej Nycz
- Brian Post
- Chad Steed
- Chris Masuo
- Junghoon Chae
- Luke Meyer
- Mingyan Li
- Sam Hollifield
- Travis Humble
- Adam Stevens
- Alex Walters
- Amy Elliott
- An-Ping Li
- Brian Weber
- Cameron Adkins
- Erin Webb
- Evin Carter
- Hoyeon Jeon
- Isaac Sikkema
- Isha Bhandari
- Jeremy Malmstead
- Jewook Park
- Joseph Olatt
- Joshua Vaughan
- Kevin Spakes
- Kitty K Mccracken
- Kunal Mondal
- Liam White
- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Mary A Adkisson
- Michael Borish
- Oluwafemi Oyedeji
- Oscar Martinez
- Peter Wang
- Rangasayee Kannan
- Roger G Miller
- Ryan Dehoff
- Saban Hus
- Samudra Dasgupta
- Sarah Graham
- Soydan Ozcan
- Sudarsanam Babu
- T Oesch
- Tyler Smith
- William Peter
- Xianhui Zhao
- Yukinori Yamamoto

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

Distortion in scanning tunneling microscope (STM) images is an unavoidable problem. This technology is an algorithm to identify and correct distorted wavefronts in atomic resolution STM images.

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.

Real-time tracking and monitoring of radioactive/nuclear materials during transportation is a critical need to ensure safety and security. Current technologies rely on simple tagging, using sensors attached to transport containers, but they have limitations.