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
- Alex Plotkowski
- Amit Shyam
- Costas Tsouris
- James A Haynes
- Ryan Dehoff
- Sumit Bahl
- Vincent Paquit
- Akash Jag Prasad
- Alexander I Wiechert
- Alice Perrin
- Andres Marquez Rossy
- Calen Kimmell
- Canhai Lai
- Chris Tyler
- Clay Leach
- Debangshu Mukherjee
- Gerry Knapp
- Gs Jung
- Gyoung Gug Jang
- James Haley
- James Parks II
- Jaydeep Karandikar
- Jovid Rakhmonov
- Md Inzamam Ul Haque
- Nicholas Richter
- Olga S Ovchinnikova
- Peeyush Nandwana
- Radu Custelcean
- Sunyong Kwon
- Vladimir Orlyanchik
- Ying Yang
- Zackary Snow

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.

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

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.

Sensing of additive manufacturing processes promises to facilitate detailed quality inspection at scales that have seldom been seen in traditional manufacturing processes.

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

This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.

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

This invention is about a multifunctional structured packing device that can simultaneously facilitate heat and mass transfer in packed distillation, absorption, and liquid extraction columns, as well as in multiphase reactors.