Researchers in the Fan group have developed a method for epitaxial growth of double heterojunction semiconductor diodes capable of suppressing parasitic non-radiative recombination effects.
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.
Researchers in the Arbabian Lab have developed a system that uses a combination of radio frequency (RF) electromagnetic and ultrasound (US) waves to detect, localize, and identify multiple battery-free tags.
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 patented an automated computer management system which can virtualize computers as well as the network of virtual machines to automatically and easily manage a large number of computers.
Stanford researchers have created a portable, wearable device for long-term nystagmus tracking to better diagnose episodic vertigo. Current methods utilize head goggles in video nystagmography to monitor eye movement while the patient is in a clinical setting.
Stanford researchers have created an integrated cooling textile (called i-Cool) with an unique functional design for personal perspiration management (PPM).
Researchers in the Cui lab have designed a polymer-polymer solid-state electrolyte for lithium batteries that is fireproof, lightweight, and mechanically robust.
Encapsulation of therapeutic cells can increase its efficacy, but current methods are non-uniform and inefficient. This inconsistency leads to varying interactions between each encapsulated cell and the extracellular matrix (ECM).
Researchers at Stanford University, Technical University of Denmark, and Norwegian University of Science and Technology have developed a software suite that can predict long-term performance of reinforced concrete based on multiple, fundamental, physics phenomenon like humidit
Stanford researchers have integrated concrete durability modeling software into building information models (BIM) for better management, repair, and assessment of structural elements like roads, bridges, dams, buildings, etc.