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
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Kyle Kelley
- Alexander I Wiechert
- Anton Ievlev
- Arpan Biswas
- Benjamin Manard
- Bruce Moyer
- Charles F Weber
- Costas Tsouris
- Debjani Pal
- Gerd Duscher
- Govindarajan Muralidharan
- Isaac Sikkema
- Jeffrey Einkauf
- Jennifer M Pyles
- Joanna Mcfarlane
- Jonathan Willocks
- Joseph Olatt
- Justin Griswold
- Kunal Mondal
- Kuntal De
- Laetitia H Delmau
- Liam Collins
- Luke Sadergaski
- Mahim Mathur
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Matt Vick
- Mike Zach
- Mingyan Li
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Oscar Martinez
- Padhraic L Mulligan
- Rose Montgomery
- Sai Mani Prudhvi Valleti
- Sam Hollifield
- Sandra Davern
- Stephen Jesse
- Sumner Harris
- Thomas R Muth
- Utkarsh Pratiush
- Vandana Rallabandi
- Venugopal K Varma

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

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.

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.

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.

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

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.

Spherical powders applied to nuclear targetry for isotope production will allow for enhanced heat transfer properties, tailored thermal conductivity and minimize time required for target fabrication and post processing.

Real-time tracking and monitoring of radioactive/nuclear materials during transportation is a critical need to ensure safety and security. Current technologies rely on simple tagging, using sensors attached to transport containers, but they have limitations.

Biocompatible nanoparticles have been developed that can trap and retain therapeutic radionuclides and their byproducts at the cancer site. This is important to maximize the therapeutic effect of this treatment and minimize associated side effects.