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High External-Efficiency Nanofocusing for Lens-Free Near-Field Optical Microscopy

Profs. Ruoxue Yan, Ming Liu, and their colleagues from the University of California, Riverside have developed a two-step sequential broadband nanofocusing technique with an external nanofocusing efficiency of ~50% over nearly all the visible range on a fibre-coupled nanowire scanning probe. By integrating this with a basic portable scanning tunneling microscope, the technology captured images with spatial resolution as low as one nanometer at high resolution. The high performance and vast versatility offered by this fibre-based nanofocusing technique allows for the easy incorporation of nano-optical microscopy into various existing measurement platforms.  Fig. 1: High-resolution NSOM mapping. a, scanning tunnelling microscope topographic image of single wall carbon nanotubes on a gold film. Top inset: cross-sectional profile along the dashed line. Bottom inset: the possible configurations of the bundle.  

A Method for Signal Characterization

UCLA researchers in the Department of Electrical and Computer Engineering have developed a method and apparatus to rapidly analyze optical and electrical signals at very high bandwidths while accommodating advanced signal modulation for lower cost and improved energy consumption.

Techniques for Creation and Insertion of Test Points for Malicious Circuitry Detection

Researchers led by Dr. Potkonjak from the UCLA Department of Computer Science have developed a technique to detect hardware Trojans in integrated circuits.

Plasma Opening Switch

UCLA researchers in the Department of Physics have developed a plasma opening switch that enables quick diversion of multi-gigawatt pulses to a protective shunt circuit.

In-Situ TEM Holder With STM Probe And Optical Fiber

Researchers at UCI have developed a fully integrated sample mount for the simultaneous high-resolution imaging and electronic and optical characterization of thin film devices.

Data Shepherding: Cache Design For Future Large Scale Chips

The ability of a central processing unit to store frequently-used data in nearby, easily accessible cache data banks has revolutionized computational performance, though their effective implementation in multicore processors has become a technological challenge. Researchers at UCI have developed a new means of data caching that is fully applicable to multicore processors, and offers reduced memory access time over standard techniques.

Efficient Supercapacitator Charging Technique by a Hysteretic Charging Scheme

The technology is a hysteretic charging technique for efficient supercapacitor charging using low ambient power sources.With this technology user may extend the upper bound on the capacitance of supercapacitors.The technology features hysteretic control, a two stage supercapacitor system.Additionally, the technology features a pulse-frequency modulation (PFM) dc-dc boost converter.

Crystal Laser Wakefield Accelerator and Its Applications

The technology is a development of a more efficient particle accelerator in terms of energy, cost and space considerations. It is used in particle acceleration applications (cancer treatment, manufacture of components for electronic devices, etc.) The technology is an ultra-compact particle accelerator and particle source. The properties include: Laser Wakefield Accelerator in a solid medium, i.e. crystal in which the Laser Wakefield by charged particle beam bunch. The driver is a high intensity pulsed x-ray. The technology applicable to electron, proton, and ion acceleration and can be used for ultra-compact particle source (neutrons, muons, and neutrinos)

Referenceless Clock Recovery Circuit with Wide Frequency Acquisition Range

The technology is a circuit that recovers a full-rate clock signal from a random digital data signal. Properties include: achieves frequency and phase locking in a single loop and a wide acquisition range.

Superhydrophobic Induced High Numerical Plastic Lenses

The application of novel manufacturing techniques, chemical modifications and alternative materials produces the next generation of lenses. These lenses are inexpensive, contain improved numerical aperture and can be easily manufactured. Overall, these improvements create new applications for miniaturized optical and optical electronic devices.

METHODOLOGY FOR SOLVING IN REAL-TIME OPTIMIZATION PROBLEMS WITH ANALOG CIRCUITS

Berkeley researchers have designed a methodology to solve in real-time linear programming (LP) problems with an analog circuit. Despite continued advancement of digital computers, the task of solving LP in very short times (e.g. 1 MHz for MPC based control of fast systems) remains challenging. Due to lack of temporal overlap between analog computation and MPC, there have been few investigations in applying analog computation towards MPC problems or LP problems. Using this technology, solution to real-time optimization problems can be achieved at 6 microseconds and ongoing work aims to reduce it to a few nanoseconds, which is lower than any current method known to our investigators.Possible applications of the new methodology are fast and power-efficient analog signal processing (e.g. Kalman filter), image processing (e.g. optical flow, mathematical morphology) and advanced control (e.g. model predictive control). Applications in automotive industry:The ability to find a solution for an optimization problem in fast and reliable manner serves well the need to design efficient and reliable vehicles.  An analog optimization circuit, besides being faster than a digital counterpart, can be used in safety-critical systems, since it has a predictable and continuous behavior.  The new circuit for analog optimization is significantly faster and simpler than previously known analog approaches. Therefore, this technology enables to design systems that are either faster or cheaper than the existing ones. The technology is broadly applicable in the automotive industry, since fast, reliable and power efficient embedded computing is required in many vehicle systems. Potential applications include the following fields: 1.      Very fast Model Predictive Control (MPC) systems.   2.      Low level image processing:  Examples include optical flow or edge detection. 3.      Signal processing embedded in the sensor e.g. Kalman filter. 

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