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
- Beth L Armstrong
- Gabriel Veith
- Guang Yang
- Lawrence {Larry} M Anovitz
- Michelle Lehmann
- Ryan Dehoff
- Singanallur Venkatakrishnan
- Tomonori Saito
- Yong Chae Lim
- Amir K Ziabari
- Diana E Hun
- Ethan Self
- Jaswinder Sharma
- Philip Bingham
- Philip Boudreaux
- Rangasayee Kannan
- Robert Sacci
- Sergiy Kalnaus
- Stephen M Killough
- Vincent Paquit
- Adam Stevens
- Alexey Serov
- Amanda Musgrove
- Amit K Naskar
- Andrew G Stack
- Anisur Rahman
- Anna M Mills
- Brian Post
- Bryan Lim
- Bryan Maldonado Puente
- Chanho Kim
- Corey Cooke
- Felipe Polo Garzon
- Georgios Polyzos
- Gina Accawi
- Gurneesh Jatana
- Ilias Belharouak
- Jiheon Jun
- Juliane Weber
- Jun Yang
- Junyan Zhang
- Khryslyn G Araño
- Logan Kearney
- Mark M Root
- Matthew S Chambers
- Michael Kirka
- Michael Toomey
- Nancy Dudney
- Nihal Kanbargi
- Nolan Hayes
- Obaid Rahman
- Peeyush Nandwana
- Peng Yang
- Peter Wang
- Priyanshi Agrawal
- Roger G Miller
- Ryan Kerekes
- Sai Krishna Reddy Adapa
- Sally Ghanem
- Sarah Graham
- Sudarsanam Babu
- Tomas Grejtak
- Vera Bocharova
- William Peter
- Xiang Lyu
- Yiyu Wang
- Yukinori Yamamoto
- Zhili Feng

ORNL researchers have developed a deep learning-based approach to rapidly perform high-quality reconstructions from sparse X-ray computed tomography measurements.

This invention utilizes a custom-synthesized vinyl trifluoromethanesulfonimide (VTFSI) salt and an alcohol containing small molecule or polymer for the synthesis of novel single-ion conducting polymer electrolytes for the use in Li-ion and beyond Li-ion batteries, fuel cells,

CO2 capture by mineral looping, either using calcium or magnesium precursors requires that the materials be calcined after CO2 is captured from the atmosphere. This separates the CO2 for later sequestration and returned the starting material to its original state.

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

This is a novel approach to enhance the performance and durability of all-solid-state batteries (ASSBs) by focusing on two primary components: the Si anode and the thin electrolyte integration.

Fabrication methods are needed that are easily scalable, will enable facile manufacturing of SSEs that are < 50 µm thick to attain high energy density, and also exhibit good stability at the interface of the anode. Specifically, Wu et al.

We developed and incorporated two innovative mPET/Cu and mPET/Al foils as current collectors in LIBs to enhance cell energy density under XFC conditions.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

Mineral looping is a promising method for direct air capture of CO2. However, reduction of sorbent reactivity after each loop is likely to be significant problems for mineral looping by MgO.