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
- Beth L Armstrong
- Rama K Vasudevan
- Sergei V Kalinin
- Ying Yang
- Yongtao Liu
- Jun Qu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Adam Willoughby
- Alex Plotkowski
- Alice Perrin
- Amit Shyam
- Bruce A Pint
- Christopher Ledford
- Corson Cramer
- Edgar Lara-Curzio
- James A Haynes
- Kyle Kelley
- Meghan Lamm
- Michael Kirka
- Rishi Pillai
- Steve Bullock
- Steven J Zinkle
- Sumit Bahl
- Tomas Grejtak
- Yanli Wang
- Yutai Kato
- Anton Ievlev
- Arpan Biswas
- Ben Lamm
- Bishnu Prasad Thapaliya
- Brandon Johnston
- Bryan Lim
- Charles Hawkins
- David J Mitchell
- Eric Wolfe
- Ethan Self
- Frederic Vautard
- Gabriel Veith
- Gerd Duscher
- Gerry Knapp
- James Klett
- Jiheon Jun
- Jordan Wright
- Jovid Rakhmonov
- Khryslyn G Araño
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marie Romedenne
- Marm Dixit
- Marti Checa Nualart
- Matthew S Chambers
- Nancy Dudney
- Neus Domingo Marimon
- Nicholas Richter
- Nidia Gallego
- Olga S Ovchinnikova
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Priyanshi Agrawal
- Rangasayee Kannan
- Ryan Dehoff
- Sai Mani Prudhvi Valleti
- Sergiy Kalnaus
- Shajjad Chowdhury
- Stephen Jesse
- Sumner Harris
- Sunyong Kwon
- Tim Graening Seibert
- Tolga Aytug
- Trevor Aguirre
- Utkarsh Pratiush
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yan-Ru Lin
- Yiyu Wang
- Yong Chae Lim
- Zhili Feng

Dual-GP addresses limitations in traditional GPBO-driven autonomous experimentation by incorporating an additional surrogate observer and allowing human oversight, this technique improves optimization efficiency via data quality assessment and adaptability to unanticipated exp

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.

V-Cr-Ti alloys have been proposed as candidate structural materials in fusion reactor blanket concepts with operation temperatures greater than that for reduced activation ferritic martensitic steels (RAFMs).

A novel method that prevents detachment of an optical fiber from a metal/alloy tube and allows strain measurement up to higher temperatures, about 800 C has been developed. Standard commercial adhesives typically only survive up to about 400 C.

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.

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

With the ever-growing reliance on batteries, the need for the chemicals and materials to produce these batteries is also growing accordingly. One area of critical concern is the need for high quality graphite to ensure adequate energy storage capacity and battery stability.

Test facilities to evaluate materials compatibility in hydrogen are abundant for high pressure and low temperature (<100C).

Scanning transmission electron microscopes are useful for a variety of applications. Atomic defects in materials are critical for areas such as quantum photonics, magnetic storage, and catalysis.