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
- Brian Post
- Peter Wang
- Andrzej Nycz
- Blane Fillingim
- Chris Masuo
- Sudarsanam Babu
- Thomas Feldhausen
- Ahmed Hassen
- Chad Steed
- J.R. R Matheson
- Joshua Vaughan
- Junghoon Chae
- Lauren Heinrich
- Peeyush Nandwana
- Travis Humble
- Yousub Lee
- Adam Stevens
- Alex Roschli
- Amit Shyam
- Annetta Burger
- Brian Gibson
- Cameron Adkins
- Carter Christopher
- Chance C Brown
- Christopher Fancher
- Chris Tyler
- Craig Blue
- David Olvera Trejo
- Debraj De
- Gautam Malviya Thakur
- Gerald Tuskan
- Gordon Robertson
- Ilenne Del Valle Kessra
- Isha Bhandari
- James Gaboardi
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- Jesse McGaha
- John Lindahl
- John Potter
- Kevin Sparks
- Liam White
- Liz McBride
- Luke Meyer
- Michael Borish
- Paul Abraham
- Rangasayee Kannan
- Ritin Mathews
- Roger G Miller
- Ryan Dehoff
- Samudra Dasgupta
- Sarah Graham
- Scott Smith
- Steven Guzorek
- Todd Thomas
- Vlastimil Kunc
- William Carter
- William Peter
- Xiaohan Yang
- Xiuling Nie
- Yang Liu
- Yukinori Yamamoto

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

This manufacturing method uses multifunctional materials distributed volumetrically to generate a stiffness-based architecture, where continuous surfaces can be created from flat, rapidly produced geometries.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

A valve solution that prevents cross contamination while allowing for blocking multiple channels at once using only one actuator.

Materials produced via additive manufacturing, or 3D printing, can experience significant residual stress, distortion and cracking, negatively impacting the manufacturing process.

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.