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
- Chris Tyler
- Beth L Armstrong
- Justin West
- Ritin Mathews
- Alex Plotkowski
- Amit Shyam
- Jun Qu
- Srikanth Yoginath
- Anees Alnajjar
- Corson Cramer
- David Olvera Trejo
- J.R. R Matheson
- James A Haynes
- James J Nutaro
- Jaydeep Karandikar
- Meghan Lamm
- Peeyush Nandwana
- Pratishtha Shukla
- Scott Smith
- Sergiy Kalnaus
- Steve Bullock
- Sudip Seal
- Sumit Bahl
- Tomas Grejtak
- Akash Jag Prasad
- Alice Perrin
- Ali Passian
- Andres Marquez Rossy
- Ben Lamm
- Brian Gibson
- Brian Post
- Bryan Lim
- Calen Kimmell
- Christopher Ledford
- Craig A Bridges
- David J Mitchell
- Emma Betters
- Ethan Self
- Gabriel Veith
- Georgios Polyzos
- Gerry Knapp
- Greg Corson
- Harper Jordan
- James Klett
- Jaswinder Sharma
- Jesse Heineman
- Joel Asiamah
- Joel Dawson
- John Potter
- Jordan Wright
- Josh B Harbin
- Jovid Rakhmonov
- Khryslyn G Araño
- Mariam Kiran
- Marm Dixit
- Matthew S Chambers
- Michael Kirka
- Nageswara Rao
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Rangasayee Kannan
- Ryan Dehoff
- Shajjad Chowdhury
- Sheng Dai
- Sunyong Kwon
- Tolga Aytug
- Tony L Schmitz
- Trevor Aguirre
- Varisara Tansakul
- Vladimir Orlyanchik
- Ying Yang
- Yiyu Wang

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

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.

We developed and incorporated two innovative mPET/Cu and mPET/Al foils as current collectors in LIBs to enhance cell energy density under XFC conditions.

Distortion generated during additive manufacturing of metallic components affect the build as well as the baseplate geometries. These distortions are significant enough to disqualify components for functional purposes.

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.

For additive manufacturing of large-scale parts, significant distortion can result from residual stresses during deposition and cooling. This can result in part scraps if the final part geometry is not contained in the additively manufactured preform.

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.