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
Researchers in the Murmann Mixed Signal Group have developed a pipelined chip architecture with inverted residual and linear bottlenecks-based networks for energy efficient Machine Learning inference on edge devices.
Researchers at Stanford University have developed a multilayered immiscible polymer system that can autonomously realign its layers to facilitate the healing process following 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.
As part of a comprehensive optofluidic platform, researchers at Stanford have developed an integrated dynamic flat-optics system enabling microlens-free metasurface planar light-field displays.
As part of a comprehensive optofluidic platform, researchers at Stanford have developed an integrated dynamic flat-optics system that supports unprecedented compact configurations.
As part of a comprehensive optofluidic platform, researchers at Stanford have developed a new type of reflective display technology for achieving transparent displays, which allow users to receive visual information from the external world through the display at the same time.
Stanford researchers developed a programmable tuning circuit for dynamic, all-electronic tuning of the resonance frequency, sensitivity, and bandwidth of ultrasound transducers.
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 engineers have developed a wearable, real-time activity monitor that estimates metabolic energy expenditure with substantially lower error than current methods such as smartwatches.