Articles tagged with Electrical Engineering
Researchers at Carnegie Mellon University are developing a new approach to harness the power of nanosatellites, collecting data insights while in orbit and reducing latency issues. This initiative will lay groundwork for innovative applications in fields like carbon mapping, traffic management, and precision agriculture.
A team of researchers has developed a microscopic microphone that can detect sound waves by applying polymer materials to microelectro-mechanical systems. The device offers a wider auditory field than human ears and can be easily attached to the skin with a surprisingly small size, recognizing both loud and low-frequency sounds without...
Researchers at Binghamton University have developed a 'plug-and-play' biobattery that lasts for weeks using three bacteria in separate vertical chambers. The batteries can be stacked to improve output voltage and current, offering a solution for long-term power autonomy in remote locations.
Researchers at Osaka Metropolitan University observed unprecedented collective resonance motion in chiral helimagnets, allowing a significant increase in current frequency bands. This phenomenon enables a boost in frequencies beyond 100 GHz with relatively weak magnetic fields, making these materials promising for 6G technology.
Researchers use machine learning to automatically analyze Reflection High-Energy Electron Diffraction (RHEED) data, enabling faster and more efficient discovery of new materials. The study focused on surface superstructures in thin-film silicon surfaces and identified optimal synthesis conditions using non-negative matrix factorization.
Researchers at NJIT are developing a mixed-reality system that can provide coaches with real-time statistics, facial interpretation data, and remote access to trainers. The system aims to enhance training and decision-making in team sports.
The device can instantly recognize what it sees, like automatic descriptions of pictures taken by a camera or phone, and outperforms the eye in the number of wavelengths it can see. It's uniqueness comes from its ability to integrate three different operations into one, making it many times faster than current technology.
Researchers have demonstrated the potential of p-computers, which use probabilistic bits to make decisions on incomplete data. This approach outperforms classical computers and qubits in solving complex optimization problems.
Researchers developed a color filter with metasurfaces that can display vivid images on a filter as thin as three strands of hair. The filter offers 120-170 times higher resolution than high-end smartphone screens and can control individual pixel colors for various applications.
Researchers designed a modular AI chip that can be easily upgraded by swapping out layers, reducing the need for new devices. The chip uses optical communication to transmit information between layers, enabling high versatility in edge computing applications.
Ritsumeikan University researchers create a novel thin-film flexible piezoelectric-photovoltaic device that can generate electricity from indoor lighting. The device's performance is improved through strain-induced polarization in the ZnMgO layer, increasing open-circuit voltage and overcoming charge recombination issues.
Lan Yang, a leading researcher in photonic devices, has been selected for the award due to her exceptional academic achievements. She is recognized as one of the most-cited researchers in her field, with work cited nearly 17,500 times.
Researchers develop a new optimization model integrating electricity and hydrogen systems to evaluate the potential value of long-duration energy storage (LDES) in a net-zero grid. The integration of LDES technologies reduces overall annual cost of the electricity grid by tens or hundreds of millions of pounds.
Concentrated solar power (CSP) plants use wet cooling methods to dissipate waste heat, but this can lead to significant water loss. A new study developed a radiative cooling system with cold storage that reduces water consumption by up to 85% in hot regions.
Researchers at UC San Diego developed a new technology using WiFi sensors to help robots navigate indoors, even in poor lighting. The system accuracy rivals commercial camera and LiDAR sensors.
Researchers at ETH Zurich have developed a novel memristor design that can switch between two operation modes, enabling greater efficiency in machine learning applications. This breakthrough component is made of halide perovskite nanocrystals and simulates complex neural networks with high accuracy.
Researchers from Rice University and Brown University demonstrate a DIY method to hack 6G frequency using office paper, inkjet printer, metallic foil transfer, and laminator. The 'metasurface-in-the-middle' attack can redirect part of a high-frequency transmission between two users, threatening the security of next-gen wireless networks.
A research team developed a new approach to generate deep-ultraviolet lasing through a 'domino upconversion' process of nanoparticles using near-infrared light. This breakthrough enables the construction of miniaturised high energy lasers for bio-detection and photonic devices.
Researchers developed a flexible, multi-tasking sensor that can measure rain volume and wind speed in real-time, enabling the creation of local weather maps. The sensor features a superhydrophobic silicone sheet and reservoir computing analysis, making it an economical approach to weather reporting.
Researchers at Ritsumeikan University in Japan have developed a new method to fabricate cadmium-free thin-film solar cells with improved energy conversion efficiency. The process replaces toxic materials with native buffer layers formed through air-annealing, reducing waste and increasing the potential for large-scale manufacturing.
The study reveals significant information on the thermal properties of electric double-layer capacitors, which can help create safer and more reliable energy storage devices. The research team found that charging and discharging alter the heat capacity of EDLCs, leading to a decrease in capacitance.
Researchers at POSTECH developed a p-channel perovskite thin film transistor (TFT) with a threshold voltage of 0 V, achieving high hole mobility and stability without hysteresis. The device was integrated with commercialized n-channel IGZO TFTs to construct high-gain complementary inverters.
Researchers at the University of Missouri are applying AI to analyze protein dynamics, identifying potential target sites for new drug therapies. The approach can simulate protein changes related to conditions like cancer, enhancing the chances of successful therapies.
James Anderson, assistant professor of electrical engineering at Columbia University, has received a National Science Foundation (NSF) CAREER award for his work on developing randomized algorithms for the analysis and control of large-scale cyber-physical systems. His goal is to provide robust, reliable, and secure autonomy to large-sc...
Researchers at UC San Diego have developed a smartphone app that uses near-infrared camera technology to track pupil size changes, which can indicate cognitive conditions. The app is designed to be user-friendly for older adults and has shown comparable results to traditional pupillometry devices.
Researchers at the University of Cincinnati are searching for the ideal exosuit design to reduce muscle load and prevent work-related musculoskeletal disorders. The study found that commercially available exosuits have limitations, with the Auxivo LiftSuit being stiff and uncomfortable during prolonged wear.
Researchers from the University of Tsukuba and Hiroshima University investigated ternary polymer solar cells to understand why adding an extra ingredient improves their performance. They found that the acceptor molecule ITIC enhances the orientation of polymer molecules, reducing charge accumulation and increasing stability.
Researchers at UCF create brain-like devices that enable AI to function independently, allowing technology like robots and voice assistants to operate in remote areas or space. The devices use parallelism and in-memory computing, similar to the brain, for AI and unsupervised learning.
A POSTECH research team has developed a platform that can control and measure the properties of solid materials with light. This breakthrough enables the manipulation of quantum states in solids, which can be effectively used in quantum systems.
Researchers investigated the shortest possible time scale of optoelectronic phenomena and found that it cannot be increased beyond one petahertz. The experiments used ultra-short laser pulses to create free charge carriers in materials, which were then moved by a second pulse to generate an electric current.
A research team from POSTECH has developed a method to print high-performance p-type semiconductor transistors using inorganic metal halide perovskite, exhibiting high hole mobility and current ratio. This technology enables solution-processed perovskite transistors to be simply printed as semiconductor-like circuits, paving the way fo...
Researchers have discovered the opto-ionic effect, where light increases the mobility of ions in ceramic materials, improving the performance of devices such as solid-state electrolytes in fuel cells and lithium-ion batteries. This effect could lead to higher charging speeds and more efficient energy conversion technologies.
Scientists at Sandia National Laboratories have developed a tiny device that can shunt excess electricity in a few billionths of a second, protecting the nation's electric grid from electromagnetic pulses. The diode operates at a record-breaking 6,400 volts and has potential to operate up to 20,000 volts.
Researchers propose a disaggregation strategy to estimate power consumption of individual electrical facilities, improving accuracy over traditional methods. The new approach uses linear regression residuals and clustered daily routines to provide more accurate estimations for workdays and holidays.
GIST researchers propose a new strategy for crime prevention using artificial intelligence, trained on a large-scale dataset of deviant incident reports and corresponding images. The model, called DevianceNet, can accurately classify and detect deviant places, making it a useful tool in urban safety development.
Researchers develop alternative diagnostic technology to evaluate Li-ion battery degradation mechanism quickly and efficiently. The approach allows for rapid detection of LLI degradation, facilitating real-time monitoring of individual cells' state of health.
Researchers at University of California - Riverside observe time crystals in a system not isolated from its environment, achieving a major breakthrough. The all-optical time crystal uses a disk-shaped magnesium fluoride glass resonator and has potential applications in accurate measurements and precision timekeeping.
Researchers developed GaN-based CMOS logic circuits that can reduce power consumption in power conversion systems by 20-30%. The technology offers improved thermal management and energy efficiency, making it suitable for high-performance applications like data centers and autonomous driving.
Researchers at Surrey and the Federal University of Pelotas developed a low-cost, environmentally friendly way to produce flexible supercapacitors. The new technology can significantly extend the lifespan of Internet of Things devices, such as smartwatches and fitness trackers.
A comprehensive guideline for exploring nanoscale flexoelectricity via AFM tip pressing has been developed by a joint team of researchers. The method allows for the control of flexoelectricity in nanometer-sized materials, showing potential applications as generators and actuators in nanoscale units.
A new study by NYU Tandon professor Nikhil Gupta explores the recyclability of lithium-ion and lead-acid batteries, highlighting the need for a circular economy approach. While lead acid batteries have a high recycling efficiency, lithium-ion batteries pose significant challenges due to their rapidly evolving chemistry and cell design.
MIT researchers develop a method to test feature-attribution methods for machine-learning models. They find that even the most popular methods often miss important features in an image and some perform as poorly as a random baseline. This has major implications for high-stakes situations like medical diagnoses.
The new sensor grids offer 100 times higher resolution than existing technology, allowing for more precise identification of seizure origins and preservation of healthy brain tissue. Longer term, the technology holds potential for permanent implantation to improve life quality for people with paralysis or neurodegenerative diseases.
The University of Surrey researchers have developed a method to generate up to 3.1% biaxial strain and 8.5% uniaxial strain in single-crystal silicon using ion implantation, which could lead to the development of germanium lasers and near-infrared sensors for smartphones.
Researchers at the University of Surrey have successfully demonstrated the use of multimodal transistors in artificial neural networks, achieving practically identical classification accuracy as pure ReLU implementations. The study paves the way for thin-film decision and classification circuits, which could be used in more complex AI ...
New research introduces adaptable smart window design that can heat or cool a house. The film changes its properties to absorb sunlight in winter and reflect it in summer, reducing energy consumption by 20-34%.
Surrey experts identify overlooked factors contributing to inefficient TFTs, suggesting optimization opportunities for SGTs. They share crucial electrostatic properties secret ingredient for successful transistor realization.
Researchers at NTU Singapore have developed biodegradable zinc batteries made of cellulose paper that can power flexible electronics and biomedical sensors. The batteries are non-toxic, do not require aluminum or plastic casings, and can be buried in soil to break down within weeks.
Researchers at the University of Missouri have developed a free online resource that speeds up data analysis of human genomes three times faster than current methods. This enables scientists to see how an individual's genome makes them susceptible to different diseases in different ways, ultimately reducing associated costs and increas...
Researchers have developed a new two-photon microscope that provides subcellular resolution of multiple brain regions, enabling monitoring of neural circuitry in mammals. The microscope has the largest field of view and imaging speed to capture changes in neuron activity during behavior.
A new fluid has been created that can be molded and patterned using light, with potential applications in adaptive optics, mass transport, and microfluidics manufacturing. The fluid's surface tension is dependent on temperature, making it susceptible to laser manipulation.
Researchers at UC Santa Barbara successfully reconstructed a Bloch wavefunction from physical measurements, shedding light on electron behavior in materials. The team's method, using a terahertz laser and infrared excitation, overcomes previous challenges in measuring wavelike properties.
Lignocellulose, a plant-based material, can be used to create light-reactive surfaces for windows or materials that react to certain chemicals. By customizing lignocellulose, researchers can improve light absorption and achieve better operating efficiency in solar cells.
A new nine-state regional coalition will develop and provide hands-on training, exercises, and materials for students and professionals to protect critical infrastructure from computer attacks. The coalition aims to grow a skilled workforce in the region's rural areas.
Scientists at Osaka Prefecture University developed a novel method for creating uniform, electrically conductive nanosheets using oil and water interfaces. The approach resulted in highly organized three-dimensional nanostructures with high electrical conductivity, offering potential applications in energy devices and sensors.
The AI optimization improves the motor's power factor, reducing disruptions to the power grid. The optimized motor shows excellent performance, with improved efficiency and increased torque while drawing less current.
Researchers at Kobe University have developed a novel power control system for wireless power transfer, enabling precise and efficient energy transfer while reducing circuit components and costs. The system uses resonant frequency tracking and load impedance regulation to minimize power losses.
Researchers aim to create a flexible security feature that learns from past cyberattacks and requires minimal human intervention. They'll collaborate with device developers to share solutions and improve future responses to attacks.
By reading electrical signals in a bird's brain, researchers can predict specific syllables and when they will be sung. This breakthrough technology has the potential to develop vocal prostheses for humans with speech disorders.
Researchers at WVU aim to characterize autism patients' behaviors using behavior-tracking technology. They plan to use artificial intelligence to identify traits associated with ASD, which could lead to more accurate diagnoses and personalized interventions. The study also has the potential to improve early detection in young children.