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
- Alex Plotkowski
- Amit Shyam
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Srikanth Yoginath
- Anees Alnajjar
- James A Haynes
- James J Nutaro
- Kyle Kelley
- Pratishtha Shukla
- Sergiy Kalnaus
- Sudip Seal
- Sumit Bahl
- Alice Perrin
- Ali Passian
- Andres Marquez Rossy
- Anton Ievlev
- Arpan Biswas
- Beth L Armstrong
- Craig A Bridges
- Georgios Polyzos
- Gerd Duscher
- Gerry Knapp
- Harper Jordan
- Jaswinder Sharma
- Joel Asiamah
- Joel Dawson
- Jovid Rakhmonov
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Mariam Kiran
- Marti Checa Nualart
- Nageswara Rao
- Nance Ericson
- Nancy Dudney
- Neus Domingo Marimon
- Nicholas Richter
- Olga S Ovchinnikova
- Peeyush Nandwana
- Ryan Dehoff
- Sai Mani Prudhvi Valleti
- Sheng Dai
- Stephen Jesse
- Sumner Harris
- Sunyong Kwon
- Utkarsh Pratiush
- Varisara Tansakul
- Ying Yang

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.

The co-processing of cathode and composite electrolyte for solid state polymer batteries has been developed. A traditional uncalendared cathode of e.g.

In scientific research and industrial applications, selecting the most accurate model to describe a relationship between input parameters and target characteristics of experiments is crucial.

This invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.

This invention introduces a system for microscopy called pan-sharpening, enabling the generation of images with both full-spatial and full-spectral resolution without needing to capture the entire dataset, significantly reducing data acquisition time.

A high-strength, heat-resistant Al-Ce-Ni alloy optimized for additive manufacturing in industrial applications.