Researchers at Stanford University have developed gas diffusion layers with engineered surface roughness within the gas pathway of electrochemical devices that improves catalyst utilization.
Stanford researchers at the Zare Lab, Department of Chemistry, have developed a simple and eco-friendly method that could potentially produce substantial amounts of ammonia and urea, both of which are primarily used in fertilizer.
Stanford researchers have developed a method to activate, cryopreserve, and thaw T regulatory (Tregs) cells that preserves their viability, phenotype and function.
Stanford researchers have developed a method to eliminate antibiotic resistant gram-negative bacteria in the growth arrest phase. The increase in relapsing bacterial infections and the rise of drug resistant bacteria are significant global health problems.
A Stanford researcher has designed an artificial lens capsule as a drug delivery device inserted at the time of cataract surgery, to address issues of extended drug delivery to the eye with minimal complications.
Active manipulation of light beams is required for a range of emerging optical technologies, including sensing, optical computing, virtual/augmented reality, dynamic holography, and computational imaging.
Researchers at Stanford University have developed Schottky contacts for aluminum nitride-based microelectronic devices. The contacts enable reliable device operation at up to 600 ºC, opening up opportunities for high temperature microelectronic performance.
Wound healing is a huge clinical problem. Problematic outcomes of skin wounds can range from under-healing (e.g., chronic/non-healing wounds) to over-healing (e.g., scarring).
Stanford researchers have identified exercise-inducible, carboxylesterase 2 (CES2) proteins, which suppress obesity in high fat diet-fed mouse models. Generally, CES2 proteins are intracellular and localized to the endoplasmic reticulum.
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.