Articles tagged with Electrical Engineering
Engineers have developed a device that can generate surface acoustic wave phonon lasers, enabling the creation of sophisticated chips in cellphones and other wireless devices. This technology could lead to smaller, higher-performance, and lower-power wireless devices like cell phones.
A new hybrid wireless access network called PHWAN has been proposed to improve the performance of smart factories. The framework combines different wireless systems, including 5G, Wi-Fi, and low-power industrial networks, to adapt dynamically to the needs of different machines.
Researchers at Meijo University have developed the world's first continuous-wave UV-B semiconductor laser diode operating at room temperature on a low-cost sapphire substrate. The achievement advances compact, energy-efficient UV light sources for various applications.
The ACET-Estonia project partners to co-design and deliver applied clean energy research, fostering innovative solutions for Estonian island communities. Canadian expertise supports international partners in addressing similar energy challenges.
Researchers at Princeton University have developed a new technique to convert low-energy light into high-energy LEDs, improving the ability to upconvert green light to blue or ultraviolet light. The method uses plasmonics to boost upconversion on a thin metal film, reducing the power needed by 19 times compared to previous setups.
Researchers developed a bio-inspired neuron platform that processes and learns information using light and electronics integrated on a single platform. The chip achieves 92% image recognition accuracy and demonstrates key synaptic behaviors found in biological learning.
Researchers from Japan successfully downscaled a total ferroelectric memory capacitor stack to just 30 nm, maintaining high remanent polarization and paving the way for compact and efficient on-chip memory. This breakthrough demonstrates compatibility with semiconductor devices and paves the way for future technologies.
Researchers developed an anode-free lithium metal battery that delivers nearly double driving range using the same battery volume. The battery's volumetric energy density of 1,270 Wh/L is nearly twice that of current lithium-ion batteries used in electric vehicles.
A new hybrid anode technology has been developed that delivers higher energy storage while reducing thermal runaway and explosion risks. The 'magneto-conversion' strategy applies an external magnetic field to ferromagnetic manganese ferrite conversion-type anodes, promoting uniform lithium ion transport and preventing dendrite formation.
Researchers have created a design framework for magnetic cloaks that can protect sensitive electronics and sensors from magnetic interference. The new concept enables shielding of components in fusion reactors, medical imaging systems, and isolating quantum sensors.
Researchers from Chonnam National University propose a novel delay-compensated control strategy that eliminates current sensors in boost PFC converters. This simplifies circuitry, reduces hardware failure points, and enhances power quality, leading to smaller, more efficient, and cost-effective power adapters.
A new study from Kyoto University has identified a one-component superconducting state in strontium ruthenate, defying earlier predictions. The researchers developed a technique to apply shear strain to extremely thin crystals, finding that it had virtually no effect on the superconducting temperature.
Researchers at CU Boulder have introduced a solution to improving desalination plant performance by observing in real-time membrane fouling using SRS. The technique helps maximize filtration efficiency and reduce energy use, making it crucial for ensuring global access to clean water.
The Atacama Large Millimeter/Submillimeter Array (ALMA) has been upgraded with 145 low-noise amplifiers, allowing for more sensitive measurements of cosmic radiation. This enables researchers to study dark and distant regions of the universe, gaining insights into star and galaxy formation.
Developed by U-M and Penn, the robots can sense and respond to their surroundings, operate for months, and cost just a penny each. They have applications in monitoring cell health and aiding manufacturing.
L. Jay Guo, University of Michigan professor, recognized for scalable nanopatterning technology enabling next-gen flexible electronics and structural color applications. His work has attracted interest from major companies like Samsung and Toyota.
Researchers develop a cohesive framework for designing high-performance flexible vdW electronic and optoelectronic systems, exploiting strain engineering to tune physical properties. The approach enables devices with improved mobility, sensitivity, and functionality, including sensing, memory, and computation capabilities.
Researchers have developed a new acoustic wave-producing technology on an electronic chip, enabling customizable curved waves for trapping objects, routing wave information, and transporting fluids. This innovation has significant potential in medical applications, such as noninvasive surgery and biosensors.
Researchers have developed silver-based atomic switches that create stable electrical connections between individual molecules and electrodes, enabling the scalable integration of molecular components. This breakthrough paves the way for ultra-compact and energy-efficient circuits built from single molecules.
A new iron-based magnetic material achieves a 50% reduction in core loss compared to initial amorphous materials, particularly in the high-frequency range. This breakthrough is expected to contribute to next-generation transformers and EV components, leading to more energy-efficient electric machines.
A new virtual battery model and charger sharing concept improve local energy markets for efficient distribution network operation. This approach enhances grid stability, reduces investment costs, and supports the shift away from fossil fuels.
Researchers propose technology using multimodal information from LiDAR, GPS, IMU, and thermal camera to reconstruct transmission line geometric profile and estimate sag. The approach can predict how the shape of the TL would change under extreme thermal conditions.
Researchers discovered that ferroelectric fluids can harness a previously overlooked transverse electrostatic force to rise over 80 mm without magnets or high voltages. This breakthrough enables the creation of lightweight, magnet-free motors with low-voltage operation.
Mustafa Aksoy is leading a research team to develop machine-learning algorithms to detect and remove radio frequency interference from NOAA satellite measurements. The goal is to improve the accuracy of weather forecasts and climate monitoring by mitigating the impact of RFI.
Researchers at Purdue University have achieved a long-sought milestone by controlling light with light itself at the most fundamental level using single photons. The discovery could enable photonic computing and revolutionize data centers, optical communications, and data transfer systems.
A new study introduces a pioneering power management strategy that prevents ship blackouts by distributing intelligence among devices, allowing them to operate independently. The system is significantly safer, simpler, and more flexible than traditional centralized automation.
Researchers from Keio University Global Research Institute successfully generated orbital currents using sound waves, establishing a foundation for integrating acoustic technology with orbitronics. The discovery paves the way for next-generation electronic devices.
Researchers from SK Specialty developed a machine learning framework to predict the GWP of potential alternative materials for etching and cleaning semiconductors. The technique identified key patterns in molecular features related to radiative efficiency and atmospheric lifetime, enabling the prediction of GWP with high accuracy.
Scientists at Institute of Science Tokyo developed an automatic and adaptive LED-based optical wireless power transmission system that can efficiently power multiple devices without interruption. The system overcomes limitations of traditional OWPT systems by adapting to varying lighting conditions and ensuring stable power delivery.
Researchers at UC Davis invent a Stirling engine that can harness the natural warmth of the ground and cold depths of space to generate mechanical power. The device has been shown to produce up to 400 milliwatts of power per square meter, with potential applications in ventilating greenhouses and residential buildings.
The Hong Kong Polytechnic University (PolyU) has achieved a breakthrough in perovskite/silicon tandem solar cells, focusing on improving efficiency, stability and scalability. The team aims to raise the energy conversion efficiency from 34% to 40%, while promoting industry-academia-research collaboration.
Researchers from Chung-Ang University have developed a novel AI-based approach for producing high-fidelity and defect-aware ultrasonic images, outperforming traditional techniques. This technology has the potential to revolutionize non-destructive testing in industries such as semiconductors, energy, and automotive.
A PhD student at Lehigh University is working with Siemens to develop real-time monitoring and control tools for hyperscale data centers. The goal is to create a localized power network that can operate independently of the main grid, reducing power demands from artificial intelligence and increasing energy efficiency.
Researchers at Rice University have developed a new method to generate radio wave patterns that can identify signal direction with unprecedented accuracy, enabling rapid establishment of wireless links. This breakthrough enables high data-rate links to form almost as soon as the signal is sent.
A team of Korean researchers has successfully integrated a single memristor into micro-LED pixels, replacing the traditional driving transistor and storage capacitor. This innovation enables more efficient and easier-to-build displays with improved brightness and color accuracy.
Researchers have discovered new evidence of unconventional superconductivity in magic-angle twisted tri-layer graphene, a material that exhibits exotic electronic behavior. The team found that the material's superconducting gap looks very different from typical superconductors, suggesting a unique mechanism for its emergence.
A team of researchers from Rice University and the Houston Methodist Research Institute will study how the brain responds to neural implants. They aim to develop more stable and longer-lasting brain-computer interfaces and neuroprosthetics, which could treat neurological disorders such as Parkinson’s disease, epilepsy, and stroke.
Developed using alternating current power, single-contact nano-LEDs simplify fabrication and improve quantum efficiency for near-eye display applications. The technology has potential for smaller, more efficient devices with enhanced visual experiences.
Researchers have developed a numerical model to optimize avalanche photodiodes for detecting photons in ultraviolet wavelengths. The study improved the design of Geiger-mode avalanche photodiodes, resulting in high single-photon detection efficiencies up to 71% for photons with a wavelength of 340 nm.
A U-M-led team is working to minimize latency in virtual and augmented reality games for people with Parkinson's disease. They are developing two games: an adaptive soccer game and a word game that enables players to fight the progression of the disease through physical and cognitive exercise.
Researchers have developed a new method for calibrating electrical resistance using memristors, which can provide stable resistance values directly linked to fundamental constants of nature. This approach eliminates the need for complex cooling systems or high magnetic fields, making it a simpler alternative to current systems.
A South Korean research team has discovered a molecular-level mechanism to switch the charge polarity of organic polymer semiconductors by adjusting the concentration of a single dopant. This enables polymers to exhibit both p-type and n-type characteristics, eliminating the need for separate materials or complex device architectures.
Researchers reviewed novel photonics breakthroughs of 2024, focusing on coupling free electrons with nonlinear optical states in integrated photonic microresonators. This enables ultrafast electron-beam modulation and novel research opportunities for electron imaging and spectroscopy.
A study by MIT researchers found that design elements of data visualizations influence viewers' assumptions about the source of the information and its trustworthiness. Readers make these assessments primarily from design features like color palette or arrangement, rather than underlying data, often unintentionally by designers.
Duke University researchers have developed a printing technique that can create fully functional and recyclable electronics with features as small as tens of micrometers. This breakthrough has the potential to significantly reduce the environmental impact of the $150 billion electronic display industry.
A new AI-based method optimizes the operation of solar power generation and battery storage systems, reducing imbalance penalties by approximately 47% compared to conventional control methods. The method maintains stable profits throughout the four seasons and can handle real-world uncertainties such as sudden weather changes and compl...
Researchers from MIT and the MIT-IBM Watson AI Lab have introduced a new training method that enables vision-language models to localize personalized objects in a scene. By using carefully prepared video-tracking data with contextual clues, the model is better able to identify the location of a specific object in a new image.
A team of researchers from Tokyo University of Science has discovered a new approach to enhance air and water stability in sodium-ion batteries by doping with calcium ions. The study shows that Ca-doped NFM exhibits high stability, improved rate of performance, and high discharge capacity.
Researchers at the University of Missouri have developed an AI-powered method to detect hidden hardware trojans in chip designs, offering a 97% accurate solution. The approach leverages large language models to scan for suspicious code and provides explanations for detected threats.
Researchers at Kyushu University have developed a new method to build more energy-efficient magnetic random-access memory (MRAM) using thulium iron garnet. The team successfully produced thin films of platinum on the TmIG material, enabling high-speed and low-power information rewriting at room temperature.
Scientists have developed a programmable electronic circuit that harnesses high-frequency electromagnetic waves to perform complex parallel processing at light-speed. This breakthrough has the potential to power next-generation wireless networks, real-time radar, and advanced monitoring in various industries.
A new spinel-type sulfide semiconductor, (Zn,Mg)Sc2S4, has been developed by researchers at Science Tokyo. The material can be chemically tuned to switch between n-type and p-type conduction, making it suitable for pn homojunction devices in next-generation LEDs and solar cells.
The University of Oklahoma will receive a $19.9 million award to develop the KaRVIR system, a groundbreaking dual-Doppler 3D mobile Ka-band imaging radar that will enhance atmospheric science research and provide critical insights into weather systems and wildfires.
A team of researchers from Japan has developed a novel approach to convert waste heat into electricity with higher efficiency than traditional methods, leveraging non-thermal Tomonaga-Luttinger liquid. This breakthrough could pave the way for more sustainable low-power electronics and quantum computing.
Researchers at Waseda University have developed a new class of polymers with ultralow dielectric loss, enabling high-speed telecommunications. The polymers, specifically poly(2,6-dimethyl-1,4-phenylene sulfide) (PMPS), achieved a low dielectric constant and dissipation factor, making them suitable for future 5G and beyond networks.
A new study from Hanbat National University demonstrates how quantum reinforcement learning can optimize residential heating, ventilation, and air conditioning systems for improved energy efficiency and indoor air quality. The technology reduces power consumption by up to 63% and decreases electricity costs by up to 64%.
Dr. Jingyuan Xu, a researcher at KIT's Institute of Microstructure Technology, has made groundbreaking contributions to the development of eco-friendly heating and cooling technologies. Her work focuses on the elastocaloric effect, which enables materials to heat up and cool down without using climate-damaging refrigerants.
Researchers at the University of Utah create a compact camera capturing both color and fine spectral details in a single snapshot, enabling fast and efficient hyperspectral imaging. The camera's design represents a leap forward in capturing spectral data, making it cheaper, faster, and more compact.
Researchers have created a magnetic transistor that can enable smaller, faster, and more energy-efficient circuits. The device uses chromium sulfur bromide as a magnetic semiconductor, allowing for efficient control of electricity flow.
The SWiM project aims to develop intelligent and sustainable cooling systems that can reduce energy consumption in large cities by up to 30%. The system will use district heating and cooling technologies, combining expertise from Singapore and Denmark.