Researchers at Stanford have developed a dielectric diffraction grating that provides high (near-unity) diffraction efficiencies in an ultra-compact volume.
Researchers at Stanford have developed methods for evaluating the position of a micro-electromechanical system (MEMS) device in terms of phase and/or amplitude characteristics.
Researchers at Stanford have developed, for the first time, a component analysis algorithm that does not require any assumption on the data structure or data generation process to find out the important components or trends in data.
Stanford researchers at the Camarillo Lab have developed a neural-network based model that can provide real-time calculation of brain strain based on instrumented mouthguard kinematics signals.
Stanford researchers have shown how to use fluorescent and phosphorescent materials to provide plants with photons in the photosynthetically active radiation (PAR) range for increased crop yields and CO2 fixation.
Researchers in the Fuller group have designed a platform and method for measuring the thickness profiles of dynamic thin liquid films at high frequencies. The key steps in the new method called as dynamic hyperspectral interferometry are as follows.
Stanford researchers at the Dionne Lab have developed a new hand-held technology that uses optical characterization to rapidly and quantitatively measure extracted viral-RNA target binding or antibody binding to nanofabricated platforms.
Stanford researchers have developed a portable hybrid frame-event based near eye gaze tracking system that has a superior speed while using a lower data bandwidth. They demonstrated real time results for gaze-tracking.
Stanford researchers have created an integrated cooling textile (called i-Cool) with an unique functional design for personal perspiration management (PPM).
Stanford researchers have discovered that ribonucleoside vanadyl complexes can be used as an additive in transcription reactions resulting in ~2-fold increased yield.
Engineers at Stanford have invented a smart toilet platform that will autonomously monitor excreted waste from humans. We describe easily deployable hardware and software for the long-term analysis of a user's excreta through data collection and models of human health.