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
- Andrzej Nycz
- Kashif Nawaz
- Amit Shyam
- Beth L Armstrong
- Chris Masuo
- Peeyush Nandwana
- Brian Post
- Joe Rendall
- Peter Wang
- Zhiming Gao
- Alex Plotkowski
- Alex Walters
- Jun Qu
- Kai Li
- Praveen Cheekatamarla
- Rangasayee Kannan
- Sudarsanam Babu
- Vishaldeep Sharma
- Yong Chae Lim
- Zhili Feng
- Blane Fillingim
- Brian Gibson
- Corson Cramer
- James A Haynes
- James Manley
- Jamieson Brechtl
- Jian Chen
- Joshua Vaughan
- Kyle Gluesenkamp
- Lauren Heinrich
- Luke Meyer
- Meghan Lamm
- Mingkan Zhang
- Ryan Dehoff
- Steve Bullock
- Sumit Bahl
- Thomas Feldhausen
- Tomas Grejtak
- Udaya C Kalluri
- Wei Zhang
- William Carter
- Ying Yang
- Yousub Lee
- Adam Stevens
- Akash Jag Prasad
- Alice Perrin
- Andres Marquez Rossy
- Ben Lamm
- Bo Shen
- Brian Fricke
- Bruce A Pint
- Bryan Lim
- Calen Kimmell
- Chelo Chavez
- Cheng-Min Yang
- Christopher Fancher
- Christopher Ledford
- Chris Tyler
- Clay Leach
- Dali Wang
- David J Mitchell
- Dean T Pierce
- Easwaran Krishnan
- Ethan Self
- Gabriel Veith
- Gerry Knapp
- Glenn R Romanoski
- Gordon Robertson
- Govindarajan Muralidharan
- Hongbin Sun
- Huixin (anna) Jiang
- J.R. R Matheson
- James Klett
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- Jiheon Jun
- John Potter
- Jordan Wright
- Jovid Rakhmonov
- Khryslyn G Araño
- Marm Dixit
- Matthew S Chambers
- Melanie Moses-DeBusk Debusk
- Michael Kirka
- Muneeshwaran Murugan
- Nancy Dudney
- Nicholas Richter
- Nickolay Lavrik
- Pengtao Wang
- Priyanshi Agrawal
- Riley Wallace
- Ritin Mathews
- Roger G Miller
- Rose Montgomery
- Sarah Graham
- Sergiy Kalnaus
- Shajjad Chowdhury
- Steven J Zinkle
- Sunyong Kwon
- Thomas R Muth
- Tim Graening Seibert
- Tolga Aytug
- Trevor Aguirre
- Troy Seay
- Venugopal K Varma
- Vincent Paquit
- Vladimir Orlyanchik
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Xiaohan Yang
- Yanli Wang
- Yiyu Wang
- Yukinori Yamamoto
- Yutai Kato

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.

US coastal and island communities have vulnerable energy infrastructure and high energy costs, which are exacerbated by climate change.

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.

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

This invention aims to develop a new feature for a heat pump water heater having a forced flow condenser, coupled with a mixing valve, and a new feature to maximize the first hour rating and provide quick response to hot water demand, comparable to a typical gas water heater.&

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