1 - 10 of 25 Results
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,
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.
The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.
This invention utilizes a salt and an amine containing small molecule or polymer for the synthesis of a bulky anionic salt or containing single-ion conducting polymer electrolyte for the use in Li-ion and beyond Li-ion batteries.
QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.