Power/Performance Bits: Oct. 23


Integrated solar battery Researchers at the University of Wisconsin–Madison and King Abdullah University of Science and Technology (KAUST) built a unified solar cell-liquid battery device capable of returning more than 14% of the incoming solar energy as electricity. The device is capable of both converting solar energy to electricity for immediate use or storing it as chemical energy in ... » read more

Power/Performance Bits: Oct. 16


On-chip modulator Researchers at Harvard SEAS and Nokia Bell Labs boosted shrunk down an important component of optoelectronics with an on-chip modulator that is 100 times smaller and 20 times more efficient than current lithium niobite (LN) modulators. Lithium niobate modulators form the basis of modern telecommunications, converting electronic data to optical information in fiber optic ca... » read more

Power/Performance Bits: Oct. 9


Spray-on antenna Engineers at Drexel University developed a sprayable form of the 2D material MXene that can be used to create antennas on nearly any surface. The antennas perform as well or better than the ones currently used in mobile devices and RFID tags. The MXene titanium carbide can be dissolved in water to create an ink or paint. The exceptional conductivity of the material enables ... » read more

Power/Performance Bits: Oct. 2


Photonic sensor Researchers at Washington University in St. Louis devised a way to record environmental data using a wireless photonic sensor resonator with a whispering-gallery-mode (WGM) architecture capable of resonating at light frequencies and also at vibrational or mechanical frequencies. Optical sensors are not affected by electromagnetic interference, a major benefit in noisy or har... » read more

Power/Performance Bits: Sept. 25


Heat transfer in 2D materials Engineers at the University of Illinois developed a way to reduce overheating in nanoelectronics that incorporate 2D components by adding another layer to the structure. "In the field of nanoelectronics, the poor heat dissipation of 2D materials has been a bottleneck to fully realizing their potential in enabling the manufacture of ever-smaller electronics whil... » read more

Power/Performance Bits: Sept. 18


Etching photovoltaics Researchers at Michigan Technological University and Aalto University found a way to reduce production costs of black silicon solar cells by more than 10%. The first prototype modules have been manufactured on an industrial production line. Typically, the silicon used for solar cells is etched to reduce reflected light, although some light is still lost. Nano-texturing... » read more

Power/Performance Bits: Sept. 11


Non-toxic photoluminescent nanoparticles Researchers from Osaka University developed a way to improve display technologies using non-toxic light-emitting nanoparticles. In trying to replace cadmium and other toxic materials used in quantum dots, scientists have turned to non-toxic nanoparticles that emit light in an efficient manner by creating I–III–VI semiconductors, such as silver in... » read more

Power/Performance Bits: Sept. 4


Preventing battery fires Researchers from Oak Ridge National Laboratory and the University of Rochester developed a method to prevent lithium-ion batteries from catching on fire when damaged. "In a lithium-ion battery, a thin piece of plastic separates the two electrodes," said Gabriel Veith, a research lead at ORNL. "If the battery is damaged and the plastic layer fails, the electrodes can... » read more

Power/Performance Bits: Aug. 28


Multilayer stretchable electronics Researchers at UC San Diego, the University of Electronic Science and Technology of China, and the Air Force Research Laboratory developed an approach to creating stacked, stretchable electronics with complex functionality. "Rigid electronics can offer a lot of functionality on a small footprint--they can easily be manufactured with as many as 50 layers of... » read more

Power/Performance Bits: Aug. 21


Physical neural network Engineers at UCLA built a physical artificial neural network capable of identifying objects as light passes through a series of 3D printed polymer layers. Called a "diffractive deep neural network," it uses the light bouncing from the object itself to identify that object, a process that consumes no energy and is faster than traditional computer-based methods of imag... » read more

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