Available Technologies

Find technologies available for licensing from all ten University of California (UC) campuses.

No technologies match these criteria.
Schedule UC TechAlerts to receive an email when technologies are published that match this search. Click on the Save Search link above

A High Flux Microchannel Solar Receiver for Converting Solar Energy into Heat

Researchers at the University of California, Davis have developed an innovative technology that incorporates advanced microchannel architecture into scalable solar thermal receiver unit cells, enabling highly efficient solar energy conversion.

Method and System for Signal Separation in Wearable Sensors with Limited Data (with Applications to Transabdominal Fetal Oximetry)

Researchers at the University of California, Davis have developed method for separating quasi-periodic mixed-signals using a single data trace, enhancing wearable sensor applications.

Organic Crystallinecomposites as New Cryogenic Energy Materials

Researchers at the University of California, Davis have developed a technology that introduces a class of organic compounds capable of releasing clean energy upon cooling to cryogenic temperatures.

Electrolyte Formulations for Non-Aqueous Flow Batteries

Researchers at the University of California, Davis have developed a technology that introduces new electrolyte compositions that significantly enhance the stability and efficiency of non-aqueous flow batteries.

Spectral Kernel Machines With Electrically Tunable Photodetectors

       Spectral machine vision collects both the spectral and spatial dependence (x,y,λ) of incident light, containing potentially useful information such as chemical composition or micro/nanoscale structure.  However, analyzing the dense 3D hypercubes of information produced by hyperspectral and multispectral imaging causes a data bottleneck and demands tradeoffs in spatial/spectral information, frame rate, and power efficiency. Furthermore, real-time applications like precision agriculture, rescue operations, and battlefields have shifting, unpredictable environments that are challenging for spectroscopy. A spectral imaging detector that can analyze raw data and learn tasks in-situ, rather than sending data out for post-processing, would overcome challenges. No intelligent device that can automatically learn complex spectral recognition tasks has been realized.       UC Berkeley researchers have met this opportunity by developing a novel photodetector capable of learning to perform machine learning analysis and provide ultimate answers in the readout photocurrent. The photodetector automatically learns from example objects to identify new samples. Devices have been experimentally built in both visible and mid-infrared (MIR) bands to perform intelligent tasks from semiconductor wafer metrology to chemometrics. Further calculations indicate 1,000x lower power consumption and 100x higher speed than existing solutions when implemented for hyperspectral imaging analysis, defining a new intelligent photodetection paradigm with intriguing possibilities.

Degenerate Distributed Feedback (DDFB) Laser

The DDFB laser introduces a novel feedback mechanism for enhanced frequency selectivity and stability in laser oscillation.

Broadband Optical Rotary Junction with High Return Loss for Analysis of Plaques

Researchers at the University of California, Davis have developed an intravascular catheter system that integrates Fluorescence Lifetime Imaging (FLIm) with Polarization-Sensitive Optical Coherence Tomography (PS-OCT) for advanced plaque assessment in coronary artery disease.

Error-Triggered Learning For Efficient Memristive Neuromorphic Hardware

An innovative learning algorithm that enables efficient online training of spiking neural networks on memristive neuromorphic hardware.