The performance of most digital systems today is limited more by their communication or interconnection rather than their logic or memory. To increase the entire system's efficacy, the focus is on improving the system's interconnection network.
Stanford researchers at the Kasevich Lab have prototyped a multi-pass electron microscope that can image nanometer scale samples including electron damage sensitive proteins and other electron dose sensitive nanostructures with low damage.
Stanford researchers have created software to facilitate the design of 2D steel truss and frame structures for buildings and civil infrastructure.The software helps with the optimization of topology and sizing design for these structures to minimize the total installed cost.
To determine the phase and magnitude of the complex electric field of
weak ultra-short pulses we propose to use a dummy strong pulse time
delayed relative to the weak pulse that needs to be characterized. This
Stanford researchers have developed one of the smallest, active translational enhancers that can be adapted to control gene regulation. The translation enhancer is a short RNA stem-loop structure isolated from a Hox gene.
Stanford researchers have developed a method to form orthogonal overlapping joints at the 4 corners of the starting square. In order to have constant height of each beam, inserts in the beams between the joints will be required.
Stanford researchers at the Vuckovic Lab have created a computational nanophotonic design library for gradient-based optimization called the Stanford Photonic INverse design Software (Spins).
Researchers in Prof. Hongjie Dai's laboratory have combined graphene with metals and other inorganic elements to create a variety of hybrid materials that can be used for high performance electrocatalytic or electrochemical devices such as batteries and fuel cells.
Multi-channel coil receivers for magnetic resonance imaging (MRI) accelerate the scan for fast imaging. Acceleration is typically achieved by subsampling the data acquisition and leveraging the localized spatial profiles of each coil element to reconstruct the images.
Stanford researchers have patented a new method for Compressed Sensing (CS) which reconstructs signals and images from significantly fewer measurements than current standards while maintaining high reconstruction accuracy.