Power/Performance Bits: Oct. 12


More stable quantum states Researchers at the University of Chicago found a way to make quantum systems retain coherency 10,000 times longer. The fragile nature of quantum states remains a challenge for developing practical applications of quantum computing, as they can be easily disrupted by background noise coming from vibrations, temperature changes or stray electromagnetic fields. Ap... » read more

Power/Performance Bits: Oct. 6


Waste plastic supercapacitor Researchers from the University of California Riverside found a way to recycle waste plastic into energy storage devices. The work focused on polyethylene terephthalate plastic waste, or PET, which is found in soda bottles and many other consumer products. The researchers first dissolved pieces of PET plastic bottles in a solvent. Using electrospinning, they fab... » read more

Power/Performance Bits: Aug. 10


Flexible electrodes for thin films Researchers from the University of Queensland and ARC Centre of Excellence in Exciton Science (University of Melbourne) developed a material for flexible, recyclable, transparent electrodes that could be used in things like solar panels, touchscreens, and smart windows. Eser Akinoglu of the ARC Centre of Excellence in Exciton Science said, "The performance... » read more

Understand MOSFET Switch Behavior Via An LED Driver Simulation


Automotive incandescent bulbs have largely given way to more efficient, reliable, stylish, and even safer light emitting diodes (LEDs). LEDs turn on in a fraction of the time and are especially useful in brake lamps, where fractions of a second matter. The challenge in designing an automotive LED lamp is in satisfying government requirements for light output while also being cost effective. Ano... » read more

Power/Performance Bits: May 14


Detecting malware with power monitoring Engineers at the University of Texas at Austin and North Carolina State University devised a way to detect malware in large-scale embedded computer systems by monitoring power usage and identifying unusual surges as a warning of potential infection. The method relies on an external piece of hardware that can be plugged into the system to observe and m... » read more

System Bits: April 30


Future batteries could use a graphene sponge Researchers at Sweden’s Chalmers University of Technology devised a porous, sponge-like aerogel, made of reduced-graphene oxide, to serve as a freestanding electrode in the battery cell. This utilization has the potential to advance lithium sulfur batteries, which are said to possess a theoretical energy density about five times greater than lithi... » read more

Power/Performance Bits: Mar. 26


Material holds both electrons, holes Researchers at Ohio State University discovered a material that can hold both electrons and holes. They hope the material, the layered metal crystal NaSn2As2, could simplify electronics, potentially removing the need for multiple layers or materials. "It is this dogma in science, that you have electrons or you have holes, but you don't have both. But our... » read more

Lithography Challenges For Fan-out


Higher density fan-out packages are moving toward more complex structures with finer routing layers, all of which requires more capable lithography equipment and other tools. The latest high-density fan-out packages are migrating toward the 1µm line/space barrier and beyond, which is considered a milestone in the industry. At these critical dimensions (CDs), fan-outs will provide better per... » read more

System Bits: Jan. 29


Quantum physics make hybrid semiconductors glow Hybrid semiconducting materials have quantum properties capable of bringing significant changes to light-emitting diode lighting and monitors, along with photovoltaic solar cells, researchers at the Georgia Institute of Technology report. Physical chemists worked with halide organic-inorganic perovskite (HOIP), which combines a crystal lattice wi... » read more

Power/Performance Bits: Nov. 13


ML identifies LED material Researchers at the University of Houston created a machine learning algorithm that can predict a material's properties to help find better host material candidates for LED lighting. One recommendation was synthesized and tested. The technique, a support vector machine regression model, was efficient enough to run on a personal computer. It scanned a list of 118,28... » read more

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