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
- Diana E Hun
- Amit Shyam
- Beth L Armstrong
- Peeyush Nandwana
- Som Shrestha
- Philip Boudreaux
- Tomonori Saito
- Alex Plotkowski
- Brian Post
- Bryan Maldonado Puente
- Jun Qu
- Nolan Hayes
- Rangasayee Kannan
- Sam Hollifield
- Sudarsanam Babu
- Venugopal K Varma
- Yong Chae Lim
- Zhili Feng
- Zoriana Demchuk
- Blane Fillingim
- Chad Steed
- Corson Cramer
- James A Haynes
- Jian Chen
- Junghoon Chae
- Lauren Heinrich
- Mahabir Bhandari
- Meghan Lamm
- Mingyan Li
- Peter Wang
- Ryan Dehoff
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Steve Bullock
- Sumit Bahl
- Thomas Feldhausen
- Tomas Grejtak
- Travis Humble
- Wei Zhang
- Ying Yang
- Yousub Lee
- Aaron Werth
- Achutha Tamraparni
- Adam Aaron
- Adam Stevens
- Alice Perrin
- Ali Passian
- Andre O Desjarlais
- Andres Marquez Rossy
- Ben Lamm
- Brian Weber
- Bruce A Pint
- Bryan Lim
- Catalin Gainaru
- Charles D Ottinger
- Christopher Fancher
- Christopher Ledford
- Dali Wang
- David J Mitchell
- Dean T Pierce
- Emilio Piesciorovsky
- Ethan Self
- Gabriel Veith
- Gary Hahn
- Gerry Knapp
- Gina Accawi
- Glenn R Romanoski
- Gordon Robertson
- Govindarajan Muralidharan
- Gurneesh Jatana
- Harper Jordan
- Isaac Sikkema
- James Klett
- Jason Jarnagin
- Jay Reynolds
- Jeff Brookins
- Jiheon Jun
- Joel Asiamah
- Joel Dawson
- Jordan Wright
- Joseph Olatt
- Jovid Rakhmonov
- Karen Cortes Guzman
- Kevin Spakes
- Khryslyn G Araño
- Kuma Sumathipala
- Kunal Mondal
- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Mark M Root
- Mark Provo II
- Marm Dixit
- Mary A Adkisson
- Matthew S Chambers
- Mengjia Tang
- Michael Kirka
- Nance Ericson
- Nancy Dudney
- Natasha Ghezawi
- Nicholas Richter
- Oscar Martinez
- Priyanshi Agrawal
- Raymond Borges Hink
- Rob Root
- Roger G Miller
- Rose Montgomery
- Samudra Dasgupta
- Sarah Graham
- Sergiy Kalnaus
- Shajjad Chowdhury
- Srikanth Yoginath
- Stephen M Killough
- Steven J Zinkle
- Sunyong Kwon
- Thomas R Muth
- Tim Graening Seibert
- T Oesch
- Tolga Aytug
- Trevor Aguirre
- Varisara Tansakul
- Venkatakrishnan Singanallur Vaidyanathan
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Yanli Wang
- Yarom Polsky
- Yifang Liu
- Yiyu Wang
- Yukinori Yamamoto
- Yutai Kato
- Zhenglai Shen

We’ve developed a more cost-effective cable driven robot system for installing prefabricated panelized building envelopes. Traditional cable robots use eight cables, which require extra support structures, making setup complex and expensive.

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

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

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

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.

This invention is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi