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
- Chris Masuo
- Peter Wang
- Alex Walters
- Srikanth Yoginath
- Brian Gibson
- Chad Steed
- James J Nutaro
- Joshua Vaughan
- Junghoon Chae
- Luke Meyer
- Pratishtha Shukla
- Sudip Seal
- Travis Humble
- Udaya C Kalluri
- William Carter
- Akash Jag Prasad
- Alexander I Wiechert
- Ali Passian
- Amit Shyam
- Benjamin Manard
- Bryan Lim
- Calen Kimmell
- Charles F Weber
- Chelo Chavez
- Christopher Fancher
- Chris Tyler
- Clay Leach
- Costas Tsouris
- Derek Dwyer
- Gordon Robertson
- Harper Jordan
- J.R. R Matheson
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- Joanna Mcfarlane
- Joel Asiamah
- Joel Dawson
- John Potter
- Jonathan Willocks
- Louise G Evans
- Matt Vick
- Mengdawn Cheng
- Nance Ericson
- Pablo Moriano Salazar
- Paula Cable-Dunlap
- Peeyush Nandwana
- Rangasayee Kannan
- Richard L. Reed
- Riley Wallace
- Ritin Mathews
- Samudra Dasgupta
- Tomas Grejtak
- Vandana Rallabandi
- Varisara Tansakul
- Vincent Paquit
- Vladimir Orlyanchik
- Xiaohan Yang
- Yiyu Wang

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

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.

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.

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.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

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

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.

Pyrolysis evolved gas analysis – mass spectrometry (EGA-MS) and pyrolysis gas chromatography – MS (GC-MS) – are powerful analytical tools for polymer characterization.