Articles tagged with Electrical Engineering
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
A deep neural network developed by researchers at the University of California - Santa Cruz has been shown to accurately classify particle signals with 99.8% accuracy in real-time. The system can identify weak or noisy signals and pinpoint their source, making it suitable for point-of-care applications.
A team of researchers found that prosumers, who produce their own electricity, can lower transmission charges when generating less energy. However, when producing a large amount of renewable energy, transmission charges increase. The study suggests levying a per-MWh tax on prosumer consumption to reduce the likelihood of death spirals.
Researchers at POSTECH developed seawater batteries with improved performance by incorporating chelating agents, overcoming limitations of traditional lithium-ion batteries. The new design achieved high energy efficiency and capacity, making it a promising candidate for next-generation energy storage systems.
A new PANDA-project aims to develop and test an ear-EEG device that can screen patients for Alzheimer's and Parkinson's diseases. The technology measures brain electrical activity and sleep patterns, with the goal of identifying early signs of the diseases and enabling earlier diagnosis.
Researchers developed a multifunctional patch that detects plant diseases and abiotic stresses like drought or salinity. The patch can detect viral infections up to a week before symptoms appear, enabling growers to take action earlier.
A study by Carnegie Mellon researchers found that about 10% of US pipeline compressor stations are electric, making them vulnerable to electric outages. Electric outages could force a loss greater than 2 gigawatts of downstream gas generators, causing significant reductions in available gas.
Assistant Professor Reza Ahmadzadeh at UMass Lowell has been awarded a $500,000 NSF CAREER grant to develop new algorithms for robots to learn complex tasks. The project aims to improve robot performance in everyday tasks, enabling them to assist older adults with daily chores and automate difficult duties in the workplace.
Researchers at Pohang University of Science & Technology have created a high-performance AI semiconductor device using IGZO, achieving over 98% accuracy in handwritten data classification. The new device's design enables efficient linear and symmetric programming, making it suitable for large-scale AI applications.
Researchers developed innovative contrast-enhancing agents to tackle limitations of photoacoustic imaging, including low SNR, image contrast, and targeted delivery. The study suggests promising strategies such as photoswitching agents, near-infrared-II agents, and micromotor agents.
University of Minnesota-led researchers developed a new process for making spintronic devices with unmatched energy efficiency and memory storage density. The breakthrough enables smaller devices to be scaled down to sizes as small as five nanometers.
A research team at City University of Hong Kong invented a tunable terahertz meta-device that can control the radiation direction and coverage area of THz beams. The device allows for signal delivery to specific users or detectors and has flexibility to adjust the propagating direction, as needed.
Researchers at Pohang University of Science & Technology (POSTECH) created a multifunctional vortex beam capable of operating with a wide range of light frequencies using a metasurface. The breakthrough technology has the potential to store more information at the same frequency, paving the way for 6G communication systems.
A research team at Osaka Metropolitan University has developed a technique to directly observe changes in the electronic state of light-emitting electrochemical cells (LECs) during electroluminescence. This breakthrough enables improvements in luminous efficiency, paving the way for more efficient and reliable OLEDs and LECs.
Researchers at GIST developed a novel thermoelectric generator inspired by zebra skin, creating a high in-plane temperature gradient for generating electricity. The design uses a pattern resembling black-and-white zebra stripes to increase its applicability while reducing environmental impact.
A novel deep learning-based forecasting model predicts uncertain parameters related to renewable energy sources, their energy demand, and market prices. The model demonstrates improved prediction accuracy and efficiency compared to existing methods.
A new Argonne study compares drone energy usage to diesel trucks and electric vehicles, finding that drones consume as much energy as either on average windy days. The models are based on regional energy consumption and facility costs of direct delivery drones under various wind speed scenarios.
A POSTECH research team has developed a deep-learning approach to enhance resolution and speed in photoacoustic computed tomography (PACT) imaging. The technique enables high-resolution, real-time whole-body imaging of animals and monitors tissue movement in the heart, kidney, and brain.
Scientists from NC State University have discovered a way to manipulate the flow of heat through ferroelectric materials by applying different electric fields. The study, published in Advanced Materials, found that varying electric field strengths, types (AC/DC), time, and frequency can alter the thermal properties of these materials.
MIT researchers have developed a receiver chip that targets and blocks unwanted signals without hurting device performance. The chip uses a mixer-first architecture and block digital filtering to remove harmonic interference, enabling it to handle high-power signals effectively.
A new crosslinking strategy for organic-inorganic hybrid dielectric layers improves TFT performance by reducing leakage current and increasing stability. This approach enables low-power driving and easy manufacturing through solution processing, contributing to next-generation flexible electronic devices.
Researchers have discovered a way to construct and control oxygen-deprived walls in nanoscopically thin materials, which can store data in multiple electronic dialects. These walls can retain their data states even when devices turn off, paving the way for next-gen electronics with enhanced memory capabilities.
Engineers at MIT and Caltech have developed an ingestible sensor that can track its location as it moves through the digestive tract, revealing where slowdowns in digestion may occur. The sensor uses a magnetic field produced by an electromagnetic coil outside the body to calculate its position.
Researchers at Purdue University have made a groundbreaking discovery in the field of thermal radiation, uncovering a new method for generating spinning thermal radiation in a controlled and efficient manner. The team's findings, published in Science Advances, demonstrate the ability to generate predominantly left-handed circularly pol...
Researchers identified 7 key symptoms of long COVID, including heart issues and joint pain, in a study of 52,461 patients. The findings could help healthcare providers diagnose and treat the condition more effectively.
A new measure called c-value helps researchers choose between techniques based on the chance that a new method is more accurate for a specific dataset. The tool answers questions like whether to use alternative estimation methods despite potential costs and effort.
A new DNA biosensor developed by NIST, Brown University, and the French government-funded research institute CEA-Leti boasts accurate and inexpensive design. The modular device can measure biomarkers in a scalable and high-sensitivity manner.
Researchers at the University of California, Santa Barbara (UCSB) have made a breakthrough in generating single photons on-chip using a new method. The team, led by Kamyar Parto, has successfully created a steady and fast stream of single photons essential for photonic-based quantum technologies.
A new method for measuring bifacial solar panel performance has been developed by the University of Ottawa SUNLAB team. The study proposes a characterization method that considers external effects of ground cover like snow, grass, and soil, providing a way to accurately test panel performance indoors.
Scientists successfully used lab-produced tissue samples to remotely control muscle-driven miniature robots with this innovative technology. The device allows researchers a new level of interaction and exploration in the field of biological robots.
A team of researchers used imaging technology to study synapse dynamics in the brains of live mice, revealing that some new synapses formed during fear conditioning are eliminated over time. This finding supports the 'unlearning' hypothesis and could help scientists better understand brain activity in patients with PTSD.
A new digital twin of laser-directed energy deposition repair technology has been developed to improve industrial sustainability. The system automatically determines optimum forming conditions, reducing metal powder waste and increasing the effectiveness of the repair process.
Researchers at North Carolina State University have developed a highly sensitive and stretchable strain sensor that can detect minor changes in strain with great range of motion. The sensor's innovative design features a patterned cut network that enables it to withstand significant deformation without sacrificing sensitivity.
Researchers at POSTECH developed high-performance n-type semiconductor Bi2S3 and p-type Te semiconductor through thermal evaporation, reducing energy consumption and environmental impact. This method can be integrated into standard OLED manufacturing, lowering production costs and contributing to the growth of sustainable electronics.
Researchers at UTA create high-tech solution to exterminate fire ants without using toxic chemicals. The innovative approach uses a combination of sensors and microorganisms to detect and eliminate fire ant colonies.
The research team successfully transplanted a stem cell sheet onto the heart, promoting angiogenesis and improving cardiac function. The technique has improved integration and engraftment rates, addressing challenges in patch-based treatments for myocardial infarction.
Researchers from City University of Hong Kong developed an advanced wireless haptic interface system called WeTac. The system provides a vivid touch experience with personalized tactile sensation data and overcomes the shortcomings of existing bulky gloves.
Researchers have successfully fabricated bifunctional flexible electrochromic supercapacitors using silver nanowire flexible transparent electrodes. The devices can exhibit color changes to display energy status, offering potential for smart windows and wearable electronics. With excellent stability and high areal capacitance, these fl...
Researchers at Binghamton University have developed ingestible biobatteries that utilize microbial fuel cells with spore-forming Bacillus subtilis bacteria to power sensors and Wi-Fi connections. The biobatteries can generate up to 100 microwatts per square centimeter of power density, enough for wireless transmission.
Researchers developed a novel separator using graphene oxide, acetylene black and polypropylene to suppress lithium polysulfide dissolution and improve lithium-ion transportation. The new separator enables efficient Li-S batteries with better performance and stability.
A new optimization model by GIST researchers reduces operating costs and load shedding in microgrids, achieving a 20% decrease in average ENS. The model accounts for variations and uncertainty in renewable energy supply using an ANN-based prediction model, with predicted power output accuracy of 9.7%.
Researchers at Osaka Metropolitan University developed a compact vibration energy harvester that amplifies electric power generated from human walking motion by about 90 times. The device can generate electricity from non-stationary vibrations, including walking motion, to power small wearable devices.
A Cornell-led collaboration used machine learning to predict Alzheimer's progression in cognitively normal and mildly impaired individuals. The modeling showed that MRI scans are most informative for asymptomatic cases, while PET scans are more effective for those with mild cognitive impairment.
A POSTECH research team developed single-cell-driven tri-channel encryption meta-displays, which project different images depending on where you look at them. These displays overcome the limitations of conventional metasurfaces by combining amplitude modulation and geometric phase manipulation.
A team of researchers has developed a framework using blockchain technology to track device communications on the electric grid, detecting anomalies such as data manipulation and spoofing. This approach increases grid resiliency and allows for rapid response to cyberattacks or equipment failures.
A research team developed an optical chip that can train machine learning hardware, improving AI performance and reducing energy consumption. This innovation uses photonic tensor cores and electronic-photonic application-specific integrated circuits to speed up the training step in machine learning systems.
Researchers at UNIST developed a subcutaneously implantable electromagnetic biosensor system for continuous glucose monitoring. The new technology eliminates the need for frequent finger pricking, providing more accurate blood glucose level tracking and improved patient care.
Researchers at Singapore University of Technology and Design (SUTD) have developed a novel phase-change key for new hardware security. The device, known as the physical unclonable function (PUF), is scalable, energy-efficient, and secure against AI attacks compared to traditional silicon PUFs.
Researchers have discovered new waves with picometer-scale spatial variations of electromagnetic fields that can propagate in semiconductors like silicon. This finding enables the emergence of 'picophotonics,' which may lead to the design of new optical devices and applications in quantum technologies.
Researchers have summarized the latest developments in mass transfer techniques for large-scale and high-density microLED arrays. The techniques address key challenges such as interfacial adhesion mechanisms and process parameters to achieve high reliability and efficiency.
Chung-Ang University researchers developed an energy-efficient adaptive directional charging algorithm that adapts to the density of sensor nodes. This approach achieved equal or better charging efficiency than single charging while reducing energy waste. The algorithm employs a mean-shift method and discretized charging strategy decis...
Researchers at Shinshu University demonstrate the transformation of isolated skyrmions into bimerons in a magnetic disk, showcasing a potential new operation for future computing architectures. The discovery opens up novel spintronic applications based on different topological spin textures.
Ritsumeikan University researchers have developed a soft robotic microfinger that enables direct interaction with insects through tactile sensing. The study shows great promise towards realizing human interactions with the microworld and has applications in augmented reality technology.
Researchers at POSTECH developed a stable aqueous zinc-ion battery that uses water as an electrolyte, reducing the risk of fires and explosions. The new battery features a protective polymer layer to prevent electrode corrosion and increase stability.
A team of researchers developed a power sector model to analyze pathways to full independence from Russian natural gas imports. The study found that Europe can eliminate reliance on Russian gas by augmenting REPowerEU plans with temporary boosts in coal and recalibrated gas storage.
Assistant Professor SUZUKI Hiroo and colleagues have developed a method to grow highly crystalline TMDCs, such as MoS2 and WS2, using chemical vapor deposition in a stacked substrate configuration. The technique produces samples with large domains and optimal photoluminescence characteristics.
A team from the University of California San Diego has developed a new system of algorithms that enables four-legged robots to walk and run on challenging terrain while avoiding obstacles. The system combines vision with proprioception, allowing the robot to move efficiently and smoothly in various environments.
Researchers at Pohang University of Science & Technology (POSTECH) developed technology that cuts power consumption in semiconductor devices in half by inserting platinum nanoparticles. The findings increased memory effect of the device by over a million times, allowing for longer operation with relatively low voltage.
Researchers aim to create intelligent drones that can autonomously inspect coal waste storage facilities, detecting cracks and deformities with thermal and visual images. The drones will be equipped with AI-based software to identify potential hazards, providing a faster and long-term solution to prevent environmental damage.
Researchers are developing wearable tonometric sensors that can collect blood pressure data without disrupting patients' sleep. The new cuffless monitoring system uses gecko-inspired adhesion technology to provide accurate readings.
University of Minnesota scientists have developed a method to fine-tune traditional compressed sensing for high-quality images using modern data science tools and machine learning ideas. This approach closes the gap between traditional and deep learning methods, providing a new direction for MRI reconstruction research.