Researchers at Stanford University have developed a multilayered immiscible polymer system capable of autonomously realigning its layers to enhance the healing process after damage.
Stanford researchers have developed strain-sensitive, stretchable, and self-healable semiconducting film. The researchers have created a multiplexed sensory transistor array using this material which can detect strain distribution by surface deformation.
Stanford researchers in Zhenan Bao's Group have developed a nanomesh sensor printed directly on the hand that uses an AI-trained model to detect multiple movement types from a single sensor.
Stanford researchers developed a novel flexible smart bandage capable of delivering precise electrical stimulation as part of an early response to wound infections.
Using advances in flexible electronics, researchers at Stanford have developed a stretchable strain sensor for monitoring solid tumor size progression on or near the skin in real time.
One of the largest challenges for soft robotics is obtaining adequate feedback control while forming dexterous movements. Here Stanford researchers have developed a patterning technique using a UV laser on metalized plastic film.
The Zhenan Bao Research Group at Stanford University developed and manufactured a photo-curable, directly patternable, stretchable, and highly conductive polymer that is ideal for bioelectronic applications, and stretchable electronic devices.
Scientists in the Zhenan Bao Research Group at Stanford developed a process for direct photo-patterning of electronic polymers that improves device density of elastic circuits over 100x.
The Zhenan Bao Research Group at Stanford University has designed an intrinsically stretchable polymeric matrix that allows seamless integration with physically crosslinked PEDOT:PSS, while stabilizing its high stretchability, and high conductivity after all necessary fabricat
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 at the Bao Research Group have developed a second-generation stretchable multi-sensor tag technology for detecting physiological signals.
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 engineers at Zhenan Bao's laboratory have designed a compliance sensor which can identify softness (compliance) of touched objects and provide human-like sensation to robots and prosthetics.