21 - 30 of 31 Results
Electric vehicle drive fluids must have a high dielectric constant to avoid current leakage or even short circuits. On the other hand, lubricants should possess sufficient conductivity to allow static electricity to be released.
This technology provides a device, platform and method of fabrication of new atomically tailored materials. This “synthescope” is a scanning transmission electron microscope (STEM) transformed into an atomic-scale material manipulation platform.
In scientific research and industrial applications, selecting the most accurate model to describe a relationship between input parameters and target characteristics of experiments is crucial.
This invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.
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.
Ionic liquids comprising quaternary ammonium and phosphonium cations have been developed as eco-friendly lubricant additives. These additives are tailored for use in environmentally acceptable lubricants (EALs) like polyalkylene glycols, vegetable oils, and synthetic esters.