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Find technologies available for licensing from UC Davis.

Novel Ethylene Conversion Method using E. coli to Convert Ethylene into Useful Chemicals

Researchers at the University of California, Davis have developed a biosynthesis pathway of ethylene glycol from ethylene in the industrial host Escherichia coli using a two-step process: 1) from ethylene to ethylene oxide, and 2) from the ethylene oxide to ethylene glycol. 

Novel Synthesis Method provides better mixing and easier handing of Starting Materials

Researchers at the University of California, Davis have developed a one-step and spark plasma sintering consolidation method utilizing hydrides of potassium, sodium, lithium, and barium to prepare sintered and dense pellets of doped BaFe2As2 superconductors. 

Novel Plant Diterpene Synthases And Their Use For Production Of Diteprene Bioproducts

Researchers at the University of California, Davis have developed a diterpene synthase (diTPS) of plant origin that shows a novel enzyme function, and methods for producing natural and novel high-value diterpenoid bioproducts. 

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.

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.