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
- Ilias Belharouak
- Ali Abouimrane
- Ruhul Amin
- Alexander I Wiechert
- Costas Tsouris
- David L Wood III
- Debangshu Mukherjee
- Fred List III
- Georgios Polyzos
- Gs Jung
- Gyoung Gug Jang
- Hongbin Sun
- Jaswinder Sharma
- Junbin Choi
- Keith Carver
- Lu Yu
- Marm Dixit
- Md Inzamam Ul Haque
- Olga S Ovchinnikova
- Pradeep Ramuhalli
- Radu Custelcean
- Richard Howard
- Thomas Butcher
- Yaocai Bai
- Zhijia Du

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.

The ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.

ORNL has developed a new hydrothermal synthesis route to generate high quality battery cathode precursors. The new route offers excellent compositional control, homogenous spherical morphologies, and an ammonia-free co-precipitation process.

Sodium-ion batteries are a promising candidate to replace lithium-ion batteries for large-scale energy storage system because of their cost and safety benefits.

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.

The proposed solid electrolyte can solve the problem of manufacturing solid electrolyte when heating and densifying the solid electrolyte powder. The material can avoid also the use of solid electrolyte additive with cathode to prepare a catholyte.

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