Available Technologies (through the UA Office of Technology Transfer)

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Updated: 38 weeks 6 days ago

Polaritonic Phase Transition Computing Architecture

Mon, 2018-12-17 15:04
ua19-010 - Title: Polaritonic Switch Computing Architecture   Invention: Researchers at the University of Arizona have demonstrated a novel means of using polaritonic switches to enable more efficient optical computing architectures. This invention overcomes current limitations in electronic circuits, such as interconnection delays and heat generation, and increases data-bandwidth capabilities. The novel architecture improves switching energy, switching time, and contrast ratio.   Background: Energy efficiency has become a bottleneck in all areas of current information technology that use charge for computing and electromagnetic waves (or light) for information transmission. This architecture is intrinsically limited by (1) energy dissipation in the form of heat in charge-based CMOS architecture, and (2) inefficiency in charge-to-photon conversion in interconnects and routers. Improvements in computing architecture are needed.   Applications:   Advantages: Licensing Manager:  Amy Phillips AmyP@tla.arizona.edu Refer to case number UA19-010

Mems-Based Hybrid Beam Steering for LIDAR

Mon, 2018-12-17 15:04
ua19-013 - Title: MEMS-based Hybrid Beam Steering for LiDAR   Invention: Researchers at the University of Arizona have developed an advanced LiDAR technology that combines MEMS and DMD technologies in a novel way.  The system is more compact with a larger field of view, and can track objects at a further distance, or at a closer range with finer resolution for applications in factories and warehouses.   Background: Currently available LiDAR sensing for autonomous vehicles space suffer from too narrow a field of view, thus requiring mechanical scanning, as well as being bulky and expensive.  Smaller systems have not been able to achieve the distance requirements needed for autonomous vehicles.  There is a need in the art for LiDAR systems to become more compact, have larger fields of view, and detect objects at greater distances.   Applications:   Advantages:   Licensing Manager: Amy Phillips AmyP@tla.arizona.edu