Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (23)
- Computing and Computational Sciences Directorate (35)
- Energy Science and Technology Directorate
(217)
- Fusion and Fission Energy and Science Directorate (21)
- Information Technology Services Directorate (2)
- Isotope Science and Enrichment Directorate (6)
- National Security Sciences Directorate (17)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate
(128)
- User Facilities (27)
Researcher
- Yong Chae Lim
- Rangasayee Kannan
- Adam Siekmann
- Adam Stevens
- Andrew F May
- Ben Garrison
- Brad Johnson
- Brian Post
- Bryan Lim
- Charlie Cook
- Christopher Hershey
- Craig Blue
- Daniel Rasmussen
- Hong Wang
- Hsin Wang
- Hyeonsup Lim
- James Klett
- Jiheon Jun
- John Lindahl
- Mike Zach
- Nedim Cinbiz
- Peeyush Nandwana
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Sudarsanam Babu
- Tomas Grejtak
- Tony Beard
- Vivek Sujan
- William Peter
- Yiyu Wang
- Yukinori Yamamoto
- Zhili Feng

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.

The technologies provide a system and method of needling of veiled AS4 fabric tape.

No readily available public data exists for vehicle class and weight information that covers the entire U.S. highway network. The Travel Monitoring Analysis System, managed by the Federal Highway Administration covers only less than 1% of the US highway network.

ORNL will develop an advanced high-performing RTG using a novel radioisotope heat source.

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.

Welding high temperature and/or high strength materials for aerospace or automobile manufacturing is challenging.

Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.