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)
- National Security Sciences Directorate (17)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (128)
- User Facilities (27)
- (-) Isotope Science and Enrichment Directorate (6)
Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Olga S Ovchinnikova
- Kashif Nawaz
- Mike Zach
- Stephen Jesse
- An-Ping Li
- Andrew F May
- Andrew Lupini
- Anton Ievlev
- Arpan Biswas
- Ben Garrison
- Bogdan Dryzhakov
- Brad Johnson
- Brian Fricke
- Bruce Moyer
- Charlie Cook
- Christopher Hershey
- Christopher Rouleau
- Costas Tsouris
- Craig Blue
- Daniel Rasmussen
- Debangshu Mukherjee
- Debjani Pal
- Gerd Duscher
- Gs Jung
- Gyoung Gug Jang
- Hoyeon Jeon
- Hsin Wang
- Huixin (anna) Jiang
- Ilia N Ivanov
- Ivan Vlassiouk
- James Klett
- Jamieson Brechtl
- Jeffrey Einkauf
- Jennifer M Pyles
- Jewook Park
- John Lindahl
- Jong K Keum
- Justin Griswold
- Kai Li
- Kuntal De
- Kyle Gluesenkamp
- Laetitia H Delmau
- Liam Collins
- Luke Sadergaski
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Md Inzamam Ul Haque
- Mina Yoon
- Nedim Cinbiz
- Neus Domingo Marimon
- Nickolay Lavrik
- Ondrej Dyck
- Padhraic L Mulligan
- Radu Custelcean
- Saban Hus
- Sai Mani Prudhvi Valleti
- Sandra Davern
- Steven Randolph
- Sumner Harris
- Tony Beard
- Ugur Mertyurek
- Utkarsh Pratiush
- Zhiming Gao

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

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

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

High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.

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.

Distortion in scanning tunneling microscope (STM) images is an unavoidable problem. This technology is an algorithm to identify and correct distorted wavefronts in atomic resolution STM images.

The technologies provide a system and method of needling of veiled AS4 fabric tape.

A human-in-the-loop machine learning (hML) technology potentially enhances experimental workflows by integrating human expertise with AI automation.

This technology is a laser-based heating unit that offers rapid heating profiles on a research scale with minimal incidental heating of materials processing environments.

The scanning transmission electron microscope (STEM) provides unprecedented spatial resolution and is critical for many applications, primarily for imaging matter at the atomic and nanoscales and obtaining spectroscopic information at similar length scales.