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
- Michael Kirka
- Peeyush Nandwana
- Rangasayee Kannan
- Ryan Dehoff
- Alex Plotkowski
- Amit Shyam
- Yong Chae Lim
- Zhili Feng
- Adam Stevens
- Alice Perrin
- Christopher Ledford
- James A Haynes
- Jian Chen
- Sumit Bahl
- Wei Zhang
- Ying Yang
- Amir K Ziabari
- Andres Marquez Rossy
- Beth L Armstrong
- Brian Post
- Bryan Lim
- Corson Cramer
- Dali Wang
- Fred List III
- Gerry Knapp
- James Klett
- Jiheon Jun
- Jovid Rakhmonov
- Keith Carver
- Nicholas Richter
- Patxi Fernandez-Zelaia
- Philip Bingham
- Priyanshi Agrawal
- Richard Howard
- Roger G Miller
- Sarah Graham
- Steve Bullock
- Sudarsanam Babu
- Sunyong Kwon
- Thomas Butcher
- Tomas Grejtak
- Trevor Aguirre
- Venkatakrishnan Singanallur Vaidyanathan
- Vincent Paquit
- William Peter
- Yan-Ru Lin
- Yiyu Wang
- Yukinori Yamamoto

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 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.

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

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

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.
Red mud residue is an industrial waste product generated during the processing of bauxite ore to extract alumina for the steelmaking industry. Red mud is rich in minerals in bauxite like iron and aluminum oxide, but also heavy metals, including arsenic and mercury.

High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.

The technologies provide a coating method to produce corrosion resistant and electrically conductive coating layer on metallic bipolar plates for hydrogen fuel cell and hydrogen electrolyzer applications.