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.
Stanford researchers have developed a crowdsourced framework for real-time robotic teleoperation with six degrees of freedom. Through smartphone controllers, RoboTurk enables large human workforces to remotely operate the robots without the need for prior training.
Stanford researchers have developed a method to make thin films of metallic glass with high strength, elastic limit, and corrosion resistance. These films are composed of metallic glass nanoparticles with high ductility.
Stanford researchers at the Bao Research Group have patented a body area sensor network (bodyNET) that can be used to monitor human physiological signals for next-generation personalized healthcare.
Stanford researchers have developed a compact, low-cost complete sensor solution (sensor plus reader) which can interpret fully-passive sensors through a simple handheld external reader. The readout mechanism can take measurements independent of the readout distance (i.e.
Stanford researchers have discovered that ribonucleoside vanadyl complexes can be used as an additive in transcription reactions resulting in ~2-fold increased yield.
Stanford researchers at the Bao Research Group have developed a second-generation stretchable multi-sensor tag technology for detecting physiological signals.
Stanford researchers at the Liao and Xing Labs have developed and tested a machine learning algorithm for augmented detection of bladder cancer. Machine learning has the potential to enhance medical decision making in cancer detection and image analysis.
Stanford researchers have developed an efficient electrochemical pathway for hydroxyl radicals (*OH) production for advanced treatment trains for purification of municipal wastewater for potable reuse.
This invention is a set of structures and associated processes to integrate GaN with Diamond to develop a full complementary CMOS device capable of operation in high power and high temperature applications.
Researchers at Stanford have demonstrated a new type of energy-efficient and ultrathin memory. This low-energy cost memory is based on stacking orders in the atomically thin limit, associated with tiny changes in the position of one atomic layer with respect to another.