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
- Brian Post
- Peeyush Nandwana
- Sudarsanam Babu
- Yong Chae Lim
- Zhili Feng
- Blane Fillingim
- Eddie Lopez Honorato
- Jian Chen
- Lauren Heinrich
- Rangasayee Kannan
- Ryan Heldt
- Thomas Feldhausen
- Tyler Gerczak
- Wei Zhang
- Yousub Lee
- Adam Stevens
- Alexander I Wiechert
- Bryan Lim
- Callie Goetz
- Christopher Hobbs
- Costas Tsouris
- Dali Wang
- Debangshu Mukherjee
- Fred List III
- Gs Jung
- Gyoung Gug Jang
- Jiheon Jun
- Keith Carver
- Matt Kurley III
- Md Inzamam Ul Haque
- Olga S Ovchinnikova
- Priyanshi Agrawal
- Radu Custelcean
- Ramanan Sankaran
- Richard Howard
- Rodney D Hunt
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Thomas Butcher
- Tomas Grejtak
- Vimal Ramanuj
- Wenjun Ge
- William Peter
- Yiyu Wang
- Yukinori Yamamoto

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

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).

Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.

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.

Sintering additives to improve densification and microstructure control of UN provides a facile approach to producing high quality nuclear fuels.

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.

Ceramic matrix composites are used in several industries, such as aerospace, for lightweight, high quality and high strength materials. But producing them is time consuming and often low quality.

In order to avoid the limitations and costs due to the use of monolithic components for chemical vapor deposition, we developed a modular system in which the reaction chamber can be composed of a top and bottom cone, nozzle, and in-situ reaction chambers.