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
- Ryan Dehoff
- Michael Kirka
- Vincent Paquit
- Adam Stevens
- Ahmed Hassen
- Alex Plotkowski
- Alice Perrin
- Amir K Ziabari
- Amit Shyam
- Andres Marquez Rossy
- Blane Fillingim
- Brian Post
- Christopher Ledford
- Clay Leach
- Dali Wang
- David Nuttall
- Glenn R Romanoski
- Govindarajan Muralidharan
- James Haley
- Jian Chen
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Philip Bingham
- Rangasayee Kannan
- Roger G Miller
- Rose Montgomery
- Sarah Graham
- Sudarsanam Babu
- Thomas R Muth
- Venkatakrishnan Singanallur Vaidyanathan
- Venugopal K Varma
- Vipin Kumar
- Vlastimil Kunc
- Wei Zhang
- William Peter
- Yan-Ru Lin
- Ying Yang
- Yukinori Yamamoto
- Zhili Feng

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

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

In manufacturing parts for industry using traditional molds and dies, about 70 percent to 80 percent of the time it takes to create a part is a result of a relatively slow cooling process.

This technology combines 3D printing and compression molding to produce high-strength, low-porosity composite articles.

Simurgh revolutionizes industrial CT imaging with AI, enhancing speed and accuracy in nondestructive testing for complex parts, reducing costs.

An innovative low-cost system for in-situ monitoring of strain and temperature during directed energy deposition.

A high-strength, heat-resistant Al-Ce-Ni alloy optimized for additive manufacturing in industrial applications.

The need for accurate temperature measurement in critical environments such as nuclear reactors is paramount for safety and efficiency.