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
- Beth L Armstrong
- Gabriel Veith
- Guang Yang
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Michelle Lehmann
- Olga S Ovchinnikova
- Tomonori Saito
- Ethan Self
- Jaswinder Sharma
- Kashif Nawaz
- Robert Sacci
- Sergiy Kalnaus
- Stephen Jesse
- Alexey Serov
- Amanda Musgrove
- Amit K Naskar
- An-Ping Li
- Andrew Lupini
- Anisur Rahman
- Anna M Mills
- Anton Ievlev
- Arpan Biswas
- Bogdan Dryzhakov
- Brian Fricke
- Chanho Kim
- Christopher Rouleau
- Costas Tsouris
- Debangshu Mukherjee
- Georgios Polyzos
- Gerd Duscher
- Gs Jung
- Gyoung Gug Jang
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilia N Ivanov
- Ilias Belharouak
- Ivan Vlassiouk
- Jamieson Brechtl
- Jewook Park
- Jong K Keum
- Jun Yang
- Kai Li
- Khryslyn G Araño
- Kyle Gluesenkamp
- Liam Collins
- Logan Kearney
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Matthew S Chambers
- Md Inzamam Ul Haque
- Michael Toomey
- Mina Yoon
- Nancy Dudney
- Neus Domingo Marimon
- Nickolay Lavrik
- Nihal Kanbargi
- Ondrej Dyck
- Radu Custelcean
- Saban Hus
- Sai Mani Prudhvi Valleti
- Steven Randolph
- Sumner Harris
- Utkarsh Pratiush
- Vera Bocharova
- Xiang Lyu
- Zhiming Gao

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.

This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.

This technology introduces an advanced machine learning approach for enhancing chemical imaging by correlating data from two mass spectrometry imaging (MSI) techniques.
Aromas play a significant role in the quality and safety of food, beverages, and even manufactured products. The ability to detect and interpret these aromas accurately can enhance product safety and consumer satisfaction.

Early Transition Metal Stabilized High Capacity Oxidatively Stable Cathodes of Lithium-ion Batteries
The development of lithium-ion batteries (LIBs) is critical for advancing portable electronics, electric vehicles, and renewable energy storage solutions.