1 - 10 of 165 Results
Atomic force microscopy (AFM) is a powerful tool for nanoscale characterization, but it is limited by slow scanning speeds, small imaging areas, and the need for expert operation both during image acquisition and post-processing.
The purpose of the invention is to establish an early warning system for thermal runaway-based safety events for batteries that can be utilized in operando.
A smart sample holder for electron microscopy which can deliver signals to the sample and probe its responses more effectively.
The scanning transmission electron microscope (STEM) provides unprecedented spatial resolution and is critical for many applications, primarily for imaging matter at the atomic and nanoscales and obtaining spectroscopic information at similar length scales.
Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.
Active feedback of electron dose during imaging and spectroscopy enables STEM imaging that imparts less damage to beam-sensitive samples and tune local dose.
Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.
Modern vehicles rely on controller area networks (CANs) to internally communicate information about vehicular functions, such as accelerator pedal angle, brakes, and wheel speeds.
This technology introduces an advanced machine learning approach for enhancing chemical imaging by correlating data from two mass spectrometry imaging (MSI) techniques.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.