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
- Kyle Kelley
- Rama K Vasudevan
- Anees Alnajjar
- Hongbin Sun
- Sergei V Kalinin
- Anton Ievlev
- Bogdan Dryzhakov
- Craig A Bridges
- Ilias Belharouak
- Kevin M Roccapriore
- Liam Collins
- Mariam Kiran
- Marti Checa Nualart
- Maxim A Ziatdinov
- Nageswara Rao
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Ruhul Amin
- Sheng Dai
- Stephen Jesse
- Steven Randolph
- Vishaldeep Sharma
- Yongtao Liu

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

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

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.

Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.

Knowing the state of charge of lithium-ion batteries, used to power applications from electric vehicles to medical diagnostic equipment, is critical for long-term battery operation.

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.