Researchers at Stanford have demonstrated a new type of energy-efficient and ultrathin memory. This low-energy cost memory is based on stacking orders in the atomically thin limit, associated with tiny changes in the position of one atomic layer with respect to another.
Stanford researchers have demonstrated a self healing electrode that can dramatically enhance the cycle lifetime of lithium ion batteries by applying Si microparticles with a thin layer of self-healing conductive composite.
Artificial intelligence can be leveraged to evaluate how facial expressions will be perceived by others. A deep learning neural network is used to generate facial vectors for each image of a person.
Researchers at Stanford have developed a non-destructive method for generating and patterning optical color centers with nanoscale resolution without the need for high energy radiation. Color centers, which are optically active defects within the lattice structur
Despite widespread adoption of stationary wireless charging, dynamic wireless power transfer suffers from a sensitivity to relative movement of the device with respect to the power source.
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.
Stanford researchers have developed a damage free method for activating buried p-type or Mg-doped epitaxial layers in III-nitride devices that improves performance and can reduce device cost when used as edge termination.
Researchers from Stanford and UC Santa Barbara have created a novel robot that blends traditional and soft robotics. This human-scale pneumatic robot can change shape and move independently once inflated, without needing a constant power or air source.
An interdisciplinary team of Stanford engineers have developed a low-cost, patented, in situ method to efficiently produce electricity from organic matter such as wastewater.
Stanford researchers have designed a high-voltage cascode GaN/SiC device combining the advantages of both a GaN and an SiC device (i.e. reduced gate loss/simple gate drive requirements)
Engineers at Stanford have invented a smart toilet platform that will autonomously monitor excreted waste from humans. We describe easily deployable hardware and software for the long-term analysis of a user's excreta through data collection and models of human health.
Researchers in Prof. Thomas Jaramillo's laboratory have developed an electrochemical method for local production of ammonia that simultaneously solves an environmental problem while also producing a valuable chemical product with a massive global market.