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
- Andrzej Nycz
- Diana E Hun
- Chris Masuo
- Peter Wang
- Philip Boudreaux
- Som Shrestha
- Alex Walters
- Tomonori Saito
- Brian Gibson
- Bryan Maldonado Puente
- Joshua Vaughan
- Luke Meyer
- Mahabir Bhandari
- Nolan Hayes
- Udaya C Kalluri
- Venugopal K Varma
- William Carter
- Xiaohan Yang
- Zoriana Demchuk
- Achutha Tamraparni
- Adam Aaron
- Akash Jag Prasad
- Amit Shyam
- Calen Kimmell
- Catalin Gainaru
- Charles D Ottinger
- Chelo Chavez
- Christopher Fancher
- Chris Tyler
- Clay Leach
- Gerald Tuskan
- Gina Accawi
- Gordon Robertson
- Gurneesh Jatana
- Ilenne Del Valle Kessra
- J.R. R Matheson
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- John Potter
- Karen Cortes Guzman
- Kuma Sumathipala
- Mark M Root
- Mengjia Tang
- Natasha Ghezawi
- Paul Abraham
- Riley Wallace
- Ritin Mathews
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Singanallur Venkatakrishnan
- Stephen M Killough
- Vilmos Kertesz
- Vincent Paquit
- Vladimir Orlyanchik
- Yang Liu
- Zhenglai Shen

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.

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

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.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

Creating a framework (method) for bots (agents) to autonomously, in real time, dynamically divide and execute a complex manufacturing (or any suitable) task in a collaborative, parallel-sequential way without required human interaction.

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.

The incorporation of low embodied carbon building materials in the enclosure is increasing the fuel load for fire, increasing the demand for fire/flame retardants.

Materials produced via additive manufacturing, or 3D printing, can experience significant residual stress, distortion and cracking, negatively impacting the manufacturing process.

The traditional window installation process involves many steps. These are becoming even more complex with newer construction requirements such as installation of windows over exterior continuous insulation walls.