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High power and high energy density are essential to batteries for applications in electric vehicles, stationary energy storage systems for solar and wind energy as well as smart grids.
With this technology, we propose a systematic method for constructing a potentially very large number of complementary anomaly detectors from a single probabilistic model of the data.
High power and high energy density are essential to batteries for applications in electric vehicles, stationary energy storage systems for solar and wind energy as well as smart grids.
High power and high energy density are essential to batteries for applications in electric vehicles, stationary energy storage systems for solar and wind energy as well as smart grids.
Electrical energy storage systems have attracted significant attention within the past few decades due to the sustained interest in alternative energy sources which stems from the gradual depletion of oil resources around the world.
During the last three decades, a large variety of materials have been synthesized and evaluated as cathode materials for Li-batteries.
This disclosure relates to electric vehicles and more specifically to charging of such vehicles.
We designed and synthesized a titanium dioxide material with novel architecture, which combines the features of the TiO2–B polymorph with mesoporous structure and microsphere morphology.
Rapid and accurate diagnosis of viral infection is often required for both management of patient outcomes and management of viral spread. Existing diagnostic methods include direct examination of viral particles (electron or light microscopy, antigen immunofluorescence, and
The Personal Immersive (PI) apparatus is a portable self-contained unit which allows for use of multiple displays, trackers, and controllers to present and manipulate 2D/3D images.