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 capable of autonomously realigning its layers to enhance the healing process after damage.
Researchers at Stanford have developed a technique that can rapidly and sequentially separate multiple sets of III-V solar cell thin films grown as a stack on one III-V wafer.
Stanford Nanoscale and Quantum Photonics Lab researchers developed a passive, magnet free, integrated on-chip laser stabilization and isolation device. Lasers need a way to prevent the light they emit from reflecting into the laser and destabilizing it.
Researchers in the Stanford University Power Electronics Research Lab developed an effective ring electrode that removes spurious modes in piezoelectric resonators.
Introducing a groundbreaking advancement in lithium metal anode technology, Stanford researchers have developed an innovation that leverages a flower-like nanostructured hard carbon host (CF) to unlock the full potential of lithium metal.
We present a revolutionary advancement in ferroelectric materials that is set to redefine the landscape of embedded memories and semiconductor technologies.
Researchers at Stanford have developed a next-generation technique of fabricating metal oxide thin films using open-air ultrasonic spray combustion and plasma curing.
Stanford researchers in the Bao lab have developed a new fabrication method to create stretchable transistors for electronic skin. It produces a soft, stretchable material capable of sensing pressure, temperature, strain, and more.
Stanford researchers in the Bao Lab have developed damage-resistant stretchable electronic materials and devices that can be used in wearable electronics.
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.