Available Technologies

No technologies match these criteria. Please broaden your search criteria and try again.

Find technologies available for licensing from UC Davis.

Unique Deep Learning Method of Protein Inference

Researchers at the University of California, Davis have developed a unique computational method of detecting the proteinic origins of peptide profiles through peptide inputs and deep computational learning.

Supersonic Thrust Vector Control for Jet Engines Using Staggered Flaps

Researchers at the University of California, Davis have developed a novel mechanism for vectoring the thrust of supersonic, air-breathing jet engines for aircraft applications.

Rapid Genome Identification and Surveillance System

Researchers at the University of California, Davis have developed a novel genome landscaping system which enables rapid, cost-effective, high-resolution and tunable genome/DNA identification and surveillance for human, animal and plant species.

Tri-Energy Source Hybrid Vehicle Powertrain

Researchers at the University of California, Davis have developed a tri-energy source (TES) hybrid vehicle powertrain consisting of three different propulsion systems including: (i) an internal combustion engine (ICE); (ii) an electric motor and battery and; (iii) a flywheel and continuously variable transmission (CVT).

Energy Efficient Trigger Word Detection via Accelerometer Data

Researchers at the University of California, Davis have developed an energy-efficient voice monitoring technique for smart devices, such as smartphones and wearables, based on accelerometer data.

Individual Identity Verified Through Device-Free, WiFi Based Framework

Researchers at the University of California, Davis have developed a device-free, WiFi based framework that can isolate individual identity, from a small group of users, simply by observing variations in WiFi signals through a user’s gait.

Frequency Discriminator-based Phase Noise Filter (PNF) for Ultra-Clean LO/Clock

Researchers at the University of California, Davis have developed a delay line frequency discriminator and phase detector (PD)/charge pump (CP)-based phase noise filter (PNF) circuit that achieves wide bandwidth, high sensitivity, and reliable integration at 10 GHz.

Robotic Plant Care Assistant

Researchers at the University of California, Davis have developed a robotic system can apply signaling to the crops and detect any important needs for the plant.