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 have discovered fluorinated acetal electrolytes for lithium metal batteries that demonstrate fast stabilization of lithium metal, compatibility with high-voltage cathodes, and low cell impedance.
Stanford inventors have developed a molecular design concept that allows for the development of stretchable electronics with desirable elasticity, solvent resistance, and photopatternability using covalently-embedded in-situ rubber matrix formation (iRUM).
Stanford researchers developed a novel flexible smart bandage capable of delivering precise electrical stimulation as part of an early response to wound infections.
Researchers at Stanford have reported the first high energy density shape memory polymer based on the formation of strain-induced supramolecular nanostructures, which immobilize stretched chains to store entropic energy.
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.
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 developed and manufactured a photo-curable, directly patternable, stretchable, and highly conductive polymer that is ideal for bioelectronic applications, and stretchable electronic devices.
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 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 at the Bao Research Group have developed a second-generation stretchable multi-sensor tag technology for detecting physiological signals.
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.