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
- Amit Shyam
- Alex Plotkowski
- James A Haynes
- Ryan Dehoff
- Sumit Bahl
- Adam Siekmann
- Adam Stevens
- Alice Perrin
- Andres Marquez Rossy
- Brian Post
- Christopher Fancher
- Dean T Pierce
- Gerald Tuskan
- Gerry Knapp
- Gordon Robertson
- Hong Wang
- Hyeonsup Lim
- Ilenne Del Valle Kessra
- Jay Reynolds
- Jeff Brookins
- Jovid Rakhmonov
- Nicholas Richter
- Paul Abraham
- Peeyush Nandwana
- Peter Wang
- Rangasayee Kannan
- Roger G Miller
- Sarah Graham
- Sudarsanam Babu
- Sunyong Kwon
- Vilmos Kertesz
- Vivek Sujan
- William Peter
- Xiaohan Yang
- Yang Liu
- Ying Yang
- Yukinori Yamamoto

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.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

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.

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.

The invention provides on-line analysis of droplets for mass spectrometry.