Stanford engineers have developed biophilic illusions, which are technologies that augment building interiors using elements from ambient nature such as shifting sunlight, swaying tree shadows, and wildlife sounds.
Researchers at Stanford have combined 3D printing and pyrolysis to produce a robust and biocompatible high resolution micro-array patch (MAP) for transdermal drug delivery.
Researchers in Stanford University's EXtreme Environment Microsystems Laboratory (XLab) working in collaboration with the University of Arkansas' Mixed-Signal Computer-Aided Design (MSCAD) Laboratory developed a Hall-effect sensor design that detects ultra fast changes in the
Stanford researchers have invented an efficient rotary actuator that recycles elastic energy by engaging and disengaging springs using concentric electroadhesive clutches.
Stanford researchers have developed a mechanistic guideline for lithium metal battery electrolyte and separator design to mitigate lithium dendrite growth.
Brief Description: Inventors at Stanford have developed a novel fiber-optic technology to achieve unprecedented sensitivity and immunity to motion artifacts that can be used in freely moving animals.
Inventors at Stanford have developed a novel strategy to perform concurrent fluorescence measurements of multiple biological parameters in freely moving and head-restrained animals.
The Stanford Rapid Online Assessment of Reading (ROAR) is an innovative tool designed to streamline and enhance the way educators, parents, and specialists assess the reading abilities of students.
Stanford researchers have developed a method for manufacturing high quality multifunctional soft electronic fibers based on conventional microfabrication techniques.
A new deep-learning system called Atomic Rotationally Equivariant Scorer (ARES) significantly improves the prediction of RNA structures over previous artificial intelligence (AI) models.
Stanford researchers in the Bao Lab have developed a flexible and modular system for the production of degradable and recyclable thermosets via photopolymerization and 3D printing of hemiacetal ester-based resins.
Researchers in the Noh Lab have developed a gait based, emotion recognition system using geophone sensors that are attached to the floor. People's gait changes under various emotions creating distinct structural vibration patterns.