Explore Stanford technologies available for licensing:

Researchers at Stanford have developed a tunable metasurface with high reflectance and large phase modulation for use as optical phase modulators or beam steering device (Lidar). Currently, the large size of beam steering devices is a critical problem.

Researchers at Stanford have developed a multi-wavelength laser with perpendicular polarization, which supports easy and independent measurement in various optical sensors for improved accuracy and speed.

Stanford researchers have developed a high performance, 2D material, staggered top-gate architecture, embedded contact, flexible electronic device. Previous 2D material device performance has been limited by coplanar architecture, and/or degradation from process residue.

Stanford researchers designed and built a light sheet microscope that can be used for deconvolution-free, high resolution volumetric imaging of cleared tissue specimens.

Stanford researchers in the Shanhui Fan Group have developed a new type of voltage converter capable of both AC and DC boost and buck operation.

Researchers at Stanford and the Chan Zuckerberg Biohub have developed methods for independent tuning of aptamer switching binding affinities and kinetics.

Researchers at Stanford and the Chan Zuckerberg Biohub have developed antibody-based molecular switches for target analyte detection.

Researchers at Stanford have developed methods for evaluating the position of a micro-electromechanical system (MEMS) device in terms of phase and/or amplitude characteristics.

Researchers at Stanford are advancing a new class of nonlinear optical devices that operate with significantly lower energy requirements than previous platforms.

Stanford researchers have designed and tested an electrochemical gas sensor which can detect volatile organic species in the gas phase and differentiate multiple species with a single chip.

Researchers at Stanford have developed, for the first time, a component analysis algorithm that does not require any assumption on the data structure or data generation process to find out the important components or trends in data.

Researchers at Stanford and the Chan Zuckerberg Biohub have developed methods for producing protease variants with increase catalytic efficiency.

Researchers at Stanford have developed a distributed digital "black box" audit trail design for connected and automated vehicle data and software assurance.

Stanford researchers at the Camarillo Lab have developed a neural-network based model that can provide real-time calculation of brain strain based on instrumented mouthguard kinematics signals.

Researchers at Stanford and the Chan Zuckerberg Biohub have developed a platform for real-time and continuous detection of biomolecules in vivo.