Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (29)
- Computing and Computational Sciences Directorate (39)
- Energy Science and Technology Directorate
(229)
- Fusion and Fission Energy and Science Directorate (24)
- Information Technology Services Directorate (3)
- Isotope Science and Enrichment Directorate (7)
- National Security Sciences Directorate (20)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (138)
- User Facilities (28)
Researcher
- Kashif Nawaz
- Rama K Vasudevan
- Joe Rendall
- Sergei V Kalinin
- Yongtao Liu
- Zhiming Gao
- Kai Li
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Olga S Ovchinnikova
- Praveen Cheekatamarla
- Vishaldeep Sharma
- James Manley
- Jamieson Brechtl
- Kyle Gluesenkamp
- Mingkan Zhang
- Stephen Jesse
- An-Ping Li
- Andrew Lupini
- Anton Ievlev
- Arpan Biswas
- Benjamin Lawrie
- Bogdan Dryzhakov
- Bo Shen
- Brian Fricke
- Cheng-Min Yang
- Chengyun Hua
- Christopher Rouleau
- Costas Tsouris
- Debangshu Mukherjee
- Easwaran Krishnan
- Gabor Halasz
- Gerd Duscher
- Gs Jung
- Gyoung Gug Jang
- Hongbin Sun
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilia N Ivanov
- Ivan Vlassiouk
- Jewook Park
- Jiaqiang Yan
- Jong K Keum
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Md Inzamam Ul Haque
- Melanie Moses-DeBusk Debusk
- Mina Yoon
- Muneeshwaran Murugan
- Neus Domingo Marimon
- Nickolay Lavrik
- Ondrej Dyck
- Pengtao Wang
- Petro Maksymovych
- Radu Custelcean
- Saban Hus
- Sai Mani Prudhvi Valleti
- Steven Randolph
- Sumner Harris
- Troy Seay
- Utkarsh Pratiush

Household refrigerators typically consume 1.5–2.0kWh of electricity per day, and more than 100 million refrigerators are used in US homes, resulting in significant primary energy consumption and carbon emissions.

This technology provides a device, platform and method of fabrication of new atomically tailored materials. This “synthescope” is a scanning transmission electron microscope (STEM) transformed into an atomic-scale material manipulation platform.

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.