This invention is an efficient and very small high frequency inductor developed by Stanford researchers and made on an active substrate, such as silicon.
Engineers in Prof. Shan Wang's laboratory have developed a CMOS-compatible fabrication method to integrate compact, tunable magnetic components into mainstream semiconductor electronic devices.
Researchers at Stanford have developed methods to overcome the limited packaging capacity of adeno-associated virus (AAV) vectors and enable their use in integration of large transgenes.
Stanford researchers have developed an Exact Dynamic Collision Checker for Animation and CAD/Robotic Applications that is both infallible and efficient.
Researchers in Prof. Mark Brongersma's laboratory have engineered a novel patterning scheme for semiconductor nanowires to increase their photon absorption in thin films for solar cells and photo-detectors.
MRG mdx4Cv: These mdx4Cv/NRG mutant mice are an immune-deficient irradiation resistant model of Duchenne muscular dystrophy (DMD) for transplantation experiments with human cells, such as human induced pluripotent stem cells (hiPSC).
Researchers in Prof. Michael McGehee's laboratory have developed a glass architecture that employs reversible metal electrodeposition for fast-switching smart windows with high contrast ratio and durable cycle life.
Researchers in Dr. Michelle Monje-Deisseroth's lab at Stanford have recently identified therapeutic targets for drug development to limit the spread of high-grade gliomas (HGGs).
Stanford researchers have developed a method to make non-ideal beam-splitters operate as perfect beam-splitters, using a double Mach-Zehnder interferometer.
Transgenic mice carrying reporter genes are extremely useful tools in modern biomedical science to unravel various underlying molecular mechanisms crucial for normal development, as well as, disease progression.
Stanford researchers have developed descriptors based on OpenEye Rapid Overlay of Chemical Structures (ROCS) that, when paired with machine learning methods improve virtual screening performance.
A team of Stanford researchers has developed an efficient, scalable quantum computing system designed to quickly solve combinatorial optimization problems using off-the-shelf components operating at room temperature.
Stanford researchers developed a device that converts microwave signals (quantum logic) to optical signals using a silicon-on-lithium-niobate photonic crystal cavity.