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
- Ying Yang
- Yong Chae Lim
- Zhili Feng
- Alice Perrin
- Andrzej Nycz
- Chris Masuo
- Jian Chen
- Luke Meyer
- Rangasayee Kannan
- Ryan Dehoff
- Steven J Zinkle
- Wei Zhang
- William Carter
- Yanli Wang
- Yutai Kato
- Adam Stevens
- Alex Plotkowski
- Alex Walters
- Amit Shyam
- Brian Post
- Bruce A Pint
- Bruce Hannan
- Bryan Lim
- Christopher Ledford
- Costas Tsouris
- Dali Wang
- Gerry Knapp
- Gs Jung
- Gyoung Gug Jang
- James A Haynes
- Jiheon Jun
- Jong K Keum
- Joshua Vaughan
- Loren L Funk
- Michael Kirka
- Mina Yoon
- Nicholas Richter
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Peter Wang
- Polad Shikhaliev
- Priyanshi Agrawal
- Radu Custelcean
- Roger G Miller
- Sarah Graham
- Sudarsanam Babu
- Sumit Bahl
- Sunyong Kwon
- Theodore Visscher
- Tim Graening Seibert
- Tomas Grejtak
- Vladislav N Sedov
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Yacouba Diawara
- 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.

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.

V-Cr-Ti alloys have been proposed as candidate structural materials in fusion reactor blanket concepts with operation temperatures greater than that for reduced activation ferritic martensitic steels (RAFMs).

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

ORNL has developed a large area thermal neutron detector based on 6LiF/ZnS(Ag) scintillator coupled with wavelength shifting fibers. The detector uses resistive charge divider-based position encoding.

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.

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

The first wall and blanket of a fusion energy reactor must maintain structural integrity and performance over long operational periods under neutron irradiation and minimize long-lived radioactive waste.