Articles tagged with Electrical Engineering
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.
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 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...
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.
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.
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.
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.
Researchers at TU Wien developed a new form of doping called modulation acceptor doping (MAD) that improves conductivity without incorporating foreign atoms. This technology enables faster switching times, lower power consumption, and better performance in quantum chips.
Quaise Energy has successfully demonstrated its groundbreaking geothermal drilling technology, achieving record-breaking depths and speeds. The company aims to revolutionize the energy sector by providing a reliable and sustainable source of clean energy.
The team will study neurons within a brain organoid, a millimeter-sized, three-dimensional structure grown in the lab from adult stem cells, to design smarter and more sustainable artificial intelligence. They aim to replicate complex computations that occur in the human brain to improve AI efficiency.
A new nanostructure acts like a wire and switch that can control the flow of quantum quasiparticles called excitons at room temperature. The transistor-like switch developed by University of Michigan engineers could speed up information transfer or enable circuits that run on excitons instead of electricity.
The team of scientists has discovered a new process called chemical liquid deposition (CLD) that can create circuits invisible to the naked eye using B-EUV radiation. They have also found a way to deposit imidazole-based metal-organic resists from solution at silicon-wafer scale, controlling their thickness with nanometer precision.
A new technique uses laser-induced folding to create highly transparent and ultra-smooth 3D microphotonic devices, setting a record length-to-thickness ratio. The method can be used to fabricate tiny optical devices, such as micro-zoom lenses and compact table structures with concave mirrors.
A team of researchers from Japan has synthesized a novel 2D material, 2H-NbO2, which exhibits strongly correlated electronic properties with two-dimensional flexibility. The discovery paves the way for realizing advanced quantum materials in next-generation electronic devices.
Professor Paul Motzki is developing ultra-flat, compact, and lightweight cooling units using shape memory alloys and dielectric elastomer actuators. He aims to create climate-friendly and energy-efficient alternative to conventional systems.
Mönch's research focuses on developing partial power processing converters to minimize losses in energy conversion, with potential applications in electromobility and innovative heat pumps. He aims to explore the limits of complete losslessness and develop efficient technologies for capacitive loads.
A flexible skin-mounted haptic interface can replicate diverse motions using a single actuator, providing rich tactile feedback and versatility. The technology aims to assist humans in various applications, including wearable human-machine interfaces and medical operations.
Researchers at Seoul National University of Science & Technology developed LWMalloc, a lightweight and high-performance dynamic memory allocator for resource-constrained environments. The new allocator outperforms ptmalloc by achieving up to 53% faster execution time and 23% lower memory usage.
The University of Michigan has expanded its open-access Battery Lab with a new facility, increasing capacity for lithium-ion battery production and prototyping. The lab now offers advanced equipment, including an automated laser welder and three-megawatt-hour battery production line.
Physicists have observed the elusive giant anomalous Hall effect in a nonmagnetic material for the first time using high-quality thin films of Cd3As2. This breakthrough challenges long-held assumptions and opens up new pathways to advanced electronic devices based on nonmagnetic materials.
The new Harvard device can turn purely digital electronic inputs into analog optical signals at high speeds, addressing the bottleneck of computing and data interconnects. It has the potential to enable advances in microwave photonics and emerging optical computing approaches.
Researchers at the University of Ottawa have developed three new indicators to measure and compare betavoltaic battery performance, enabling faster development of super-long lasting batteries. The breakthrough could revolutionize daily life by providing devices that work for decades without recharging.
Kyushu University researchers have developed a new 3D bioprinting method to create customized dysphagia diets using controlled radiofrequency and microwave energy. The method produces gels with varying textures, adhesiveness, and water retention suitable for different dysphagia diet requirements.
Scientists have discovered a new type of metal oxide that can breathe oxygen at relatively low temperatures. This unique ability makes it ideal for real-world applications in clean energy technologies, including fuel cells and energy-saving windows.
Noncommutative metasurfaces enable diverse path entanglement by exploiting interaction between metasurfaces and entangled photons, expanding quantum information processing capabilities. The research paves the way for high-dimensional information encoding in quantum communications and parallel processing in quantum computing.
Researchers have developed the world's first microwave neural network processor, capable of performing real-time frequency domain computation and recognizing patterns. The chip consumes less than 200 milliwatts of power, making it suitable for edge computing applications like smartwatches and cellphones.
Researchers developed a non-mechanical bioimaging device that uses electrowetting to produce high-resolution images of the retina and cornea. The device has shown promise in detecting eye conditions like age-related macular degeneration and glaucoma, as well as heart disease.
The book provides a roadmap for sustainable and ethical leadership in engineering management, focusing on ESG reporting, CSR integration, and industry-specific insights. It offers practical tools and strategies for professionals to make informed decisions that reduce ecological impact and improve resource efficiency.
Researchers at University College London developed durable new solar cells capable of efficiently harvesting energy from indoor light. The team successfully reduced defects in the perovskite material, increasing efficiency and durability, paving the way for electronics powered by ambient light.
Researchers successfully grew high-quality ScAlN thin films on AlGaN/GaN heterostructures using sputtering at varying temperatures. The study reveals that higher growth temperatures improve structural quality and carrier density in the 2DEG, but electron mobility is reduced due to structural imperfections.
Researchers are exploring how fluorescent OLED materials can detect pesticide residue and herbicides in food production, addressing concerns in Brazil. The project aims to develop sensors that respond with light when interacting with pesticides, enabling early detection and reducing contamination.
Researchers consider natural rubber's potential as a sustainable material for flexible sensors, self-powered systems, and energy harvesting devices. The study aims to enhance natural rubber's electrical and mechanical properties while minimizing its environmental impact.
Research team reviews digital-coded metasurface technology for wireless communication, highlighting its advantages in miniaturization, low power consumption and real-time programmability. The study explores various applications and potential societal impact of this emerging technology.
Researchers developed a device that uses Rosaceae plants' infrared radiation characteristics to create adaptive camouflage for various wavelengths. The device achieves simulated plant-like infrared camouflage and ultra-low emissivity infrared stealth.
Researchers propose a Coulomb attraction-driven spontaneous molecule-hotspot pairing mechanism to achieve synergistic enhancement of electromagnetic and chemical mechanisms in surface-enhanced Raman spectroscopy. This synergy enables efficient detection of single molecules with improved universality, uniformity, robustness, and stability.
MIT researchers developed a fully autonomous experimental platform that can efficiently identify optimal polymer blends. The system uses a genetic algorithm to explore a wide range of potential combinations and autonomously identifies hundreds of blends that outperform their constituent polymers. This workflow could lead to advancement...
Researchers at the University of Rochester are developing biologically inspired predictive coding networks for digital image recognition using analog circuits, which could lead to more efficient drones. The team aims to approach the performance of existing digital approaches and translate it to complex perception tasks needed by self-d...
Researchers have created a tiny spectrometer that can accurately measure light wavelengths and is small enough to fit on a phone. The technology has the potential to be integrated into smartphones and enable new applications in fields like manufacturing and biomedical diagnostics.
Columbia engineers design specialized ADC chips to capture electrical signals in the ATLAS detector, capturing details that no existing component could reliably record. The resulting design is resilient enough to withstand harsh conditions at LHC for over a decade.
A research team has experimentally demonstrated a nonlinear wave phenomenon that changes its frequency depending on the direction of incoming waves. The system exhibits different responses to waves entering from one side versus the other, with potential applications in medical ultrasound imaging and noise control.
Researchers at Pusan National University developed a new Bayesian calibration framework to optimize digital twin models of automated material handling systems. The framework improves prediction accuracy by accounting for parameter uncertainty and discrepancy, enabling effective calibration with scarce field data.
A research team at Peking University has developed the first sort-in-memory hardware system tailored for complex, nonlinear sorting tasks. The system eliminates the need for comparators and introduces a novel Digit Read mechanism, along with a new algorithm and hardware design that reimagines how sorting can be performed within memory.
Researchers developed a new method for building powerful, compact energy storage devices using thin-film supercapacitors without metal parts. The device can output 200 volts, equivalent to powering 100 LEDs for 30 seconds or a 3-watt bulb for 7 seconds.