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
- Srikanth Yoginath
- William Carter
- Alex Roschli
- Andrzej Nycz
- Brian Post
- Chad Steed
- Chris Masuo
- James J Nutaro
- Junghoon Chae
- Luke Meyer
- Mingyan Li
- Pratishtha Shukla
- Sam Hollifield
- Sudip Seal
- Travis Humble
- Adam Stevens
- Alex Walters
- Ali Passian
- Amy Elliott
- Brian Weber
- Cameron Adkins
- Erin Webb
- Evin Carter
- Harper Jordan
- Isaac Sikkema
- Isha Bhandari
- Jeremy Malmstead
- Joel Asiamah
- Joel Dawson
- 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
- Nance Ericson
- Oluwafemi Oyedeji
- Oscar Martinez
- Pablo Moriano Salazar
- Peter Wang
- Rangasayee Kannan
- Roger G Miller
- Ryan Dehoff
- Samudra Dasgupta
- Sarah Graham
- Soydan Ozcan
- Sudarsanam Babu
- T Oesch
- Tyler Smith
- Varisara Tansakul
- 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.

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.

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.