Articles tagged with Electrical Engineering
The University of Pittsburgh will establish the Pittsburgh Laser Engine, a training center for displaced coal workers and union electricians. The center will offer 10-week hands-on courses in advanced laser processing and fiber-optic sensing, preparing workers for high-paying careers in AI data centers, power systems, and other critica...
Binghamton University researchers have developed a new type of wallpaper that absorbs moisture from the air and turns it into small amounts of electric current. The technology has potential applications in powering small devices and regulating indoor humidity levels.
Triboelectric fibers convert mechanical energy into electricity, offering a comfortable and self-powered solution for VR/AR interaction. The fibers can be woven into garments, act as virtual buttons, and visualize sports motions and vital signs, enhancing immersive experiences.
Researchers developed a self-powered, flexible neuromorphic sensing platform that mimics human tactile perception, demonstrating hierarchical memory processes and spike-rate-dependent plasticity. The device operates entirely without an external power source, converting mechanical stimuli into electrical signals.
A new approach called mkcheck2 has been developed to improve build dependency verification efficiency and accuracy. It leverages eBPF and incremental analysis to significantly reduce verification time, making continuous integration practical in large-scale projects.
Researchers at Ritsumeikan University developed a way to control molecular shape, electron transfer, assembly, and pressure-responsive properties by changing counterions. The findings reveal counteranions can modulate ultrafast electron transfer and pressure-responsive photophysical properties, enabling the creation of smart materials.
Researchers at ETH Zurich have developed a new method to manufacture tiny OLED pixels using direct light exposure and photolithography. They created luminescent polymers in various colors that serve as photoresists, enabling the creation of fine-scale geometric structures.
A new AI approach helps distinguish genuine SSD failures from false failure reports in large-scale data centers, improving reliability and efficiency. The model achieved an F1 score of 0.717 under a 40% false-failure rate, outperforming conventional models.
Researchers used AI to study the relationship between strain and charge mobility in molecular single crystals, revealing how stretching affects their electrical performance. The study's findings contribute to the design of robust organic crystals for wearable applications.
Binghamton University receives $500K grant for 'brain-on-a-chip' project to advance dementia research. The project will establish advanced imaging and electrophysiological analysis infrastructure for studying living brain tissue models.
Researchers have developed a method to transfer electron topology into measurable orbital angular momentum and polarization skyrmions, enabling noninvasive diagnosis and versatile radiation sources. The approach uses guided Cherenkov emission and demonstrates reproducible electron-to-field topology-transfer interfaces.
Researchers found that dissolved black carbon's electron-shuttle ability depends on both redox activity and diffusivity, which can alter microbial metabolism and contaminant transformation rates. Higher-temperature DBC exhibited greater electron-shuttle ability and faster apparent diffusion.
Researchers created a proof-of-concept wearable EEG headband with embroidered electrodes to monitor brain activity outside the lab. The headband offers comfortable and reliable EEG monitoring, paving the way for further development and potential applications.
USC researchers will lead a $20M NSF effort to develop AI-powered optimization tools for power grids and supply chains. The project aims to improve decision-making in these complex systems and expand AI education for high school students.
The team successfully grew single-crystalline polar wurtzite NbAlN thin films on GaN substrates, preserving the wurtzite crystal structure and metal polarity. This discovery expands the options for designing carrier density in GaN heterostructures, offering a new family of transition-metal-containing polar nitride semiconductors.
Researchers create powerful optical device with layered semiconductor and metasurface, enhancing nonlinear frequency conversion and enabling efficient light mixing and transformation. The device has potential applications in telecommunications, quantum communication, and photonic quantum computing.
A new probabilistic method, Bayesian Probabilistic Data Association via Gaussian Mixture Models, improves trajectory accuracy and semantic mapping quality in robots. The approach reduces duplicate registrations and handles ambiguous observations, enabling more stable and reliable object-level maps.
Andrea Iannelli's ERC Starting Grant project aims to develop adaptive autonomous systems that learn, adapt, and act in complex environments. The project proposes a new framework combining control theory, optimization, and statistical learning to achieve safe and robust behavior.
Researchers developed a low-cost touch interface that recognizes finger movements and users, using a single-electrode design and triboelectric effects. The interface can be created by printing patterns onto a PVC sheet with a laser printer and can recognize complex inputs, including alphabet characters and user authentication.
A new framework jointly optimizes UAV trajectories and FANET topology to maximize data transmission, outperforming existing methods in field experiments and simulations. The approach enables more efficient and reliable multi-UAV missions for environmental monitoring and other applications.
Researchers from the University of Warwick report that building a digital twin brain is shaped by the resolution, completeness, and updatability of biological measurements. The review charts a path toward dynamic models that update with new data and interact with the biological system. Digital twin brains have potential applications in...
Researchers discovered a temperature-locking phenomenon in a bulk organic conductor, where Joule heating raises the sample temperature, giving rise to a resistive-switched state. The material exhibits an inverse Ohm's law, showing an unusual behavior where voltage and current are inversely proportional.
Researchers at EPFL's POWERlab have developed a new class of GaN transistor that can withstand nearly 4 kilovolts before breaking down, maintaining low resistance and reducing energy losses. This innovation is crucial for efficient power conversion in AI data centers and renewable energy systems.
A new AI framework reduces computational effort needed to optimize solid oxide electrolysis cells, improving hydrogen production efficiency and thermal stability. The framework achieved 14% improvement in electrochemical performance index and 80% reduction in temperature differences compared to baseline conditions.
Wearable sweat sensors provide continuous real-time monitoring in ICUs, offering insights into hydration and homeostasis through electrolyte and metabolite tracking. The technology has vast application prospects, including sepsis warnings, renal management, and precision glycemic control.
The ST-NUS HELIX Corporate Lab aims to develop new generative and embodied AI use cases at the edge through system-to-silicon innovation, reducing energy consumption and improving performance. Researchers will focus on memory-centric architecture, innovative in-memory computing, and scalable compute-and-memory systems.
A new membrane combines food waste-derived biochar, graphene, and a phase change material to store thermal energy, improve heat transfer, and manage moisture. The membrane exhibits high thermal conductivity and water vapor permeability, making it suitable for energy recovery ventilation and smart building systems.
A new study models a future net-zero European power system and tests it against 80 years of historical weather data to understand how it would handle stress with periods of low wind and solar generation, combined with high demand. The study concludes that the risk is greatest during winter when cold and wind-still conditions persist, h...
Researchers at Science Tokyo have developed anthracene-based self-assembling nanofibers that enable excitons to migrate hundreds of nanometers, doubling exciton diffusivity. This breakthrough overcomes the limited diffusivity of singlet excitons in organic semiconductors, offering a new strategy for improving optoelectronic technologies.
The partnership aims to develop new battery technologies and manufacturing processes to enhance grid reliability, security and resilience. Researchers will work together to validate energy technologies through a test bed and train the next generation of energy researchers.
Researchers at Hanbat National University developed a hybrid physics-informed neural network framework for optimization of latent heat thermal energy storage systems. The framework enables rapid, autonomous design optimization by teaching the AI model governing laws of physics.
Chao-Yang Wang, a world-renowned battery innovator, has been appointed Vice President and Executive Director of the Electrochemical Safety Research Institute. He brings over three decades of experience in academia and research leadership to advance safe and reliable energy storage technologies.
Researchers developed a flexible microsystem to deliver light directly to internal cancer treatment sites, overcoming the limitation of traditional PDT. The system, powered wirelessly and containing tiny light-emitting components, shows promising results in laboratory tests, paving the way for more precise and effective cancer treatments.
Researchers develop AI framework to optimize CMOS LNA designs, reducing power consumption by 62% and improving linearity. The framework increases successful circuit simulations by nearly doubling the rate under foundry design constraints.
Researchers developed a novel semiconductor integration platform, BBCube, combining advanced chip packaging, high-density interconnects, and improved thermal management. This enables more precise chip placement, faster communication, and efficient cooling for powerful and energy-efficient AI accelerators.
Researchers have developed a new stretchable catheter that can reveal features of arterial plaque not visible with conventional imaging. The device uses electrical measurements to identify metabolically active plaques, allowing doctors to spot potentially deadly buildup before it causes a heart attack.
A high-throughput ceramic processing method using cellulose nanofiber dispersions enables rapid exploration of dielectric materials. The researchers identified a dielectric ceramic with excellent temperature stability, demonstrating its potential in advanced functional materials.
Researchers developed a novel vertically integrated dual-gate transistor design for reliable touch sensing and large-area integration. The device exhibited stable response and recovery times, and demonstrated active tactile sensing capabilities.
A Sungkyunkwan University undergrad researcher developed a new AI system named 'UAV-NAS' that accurately identifies drones while consuming very little power, improving battery efficiency by 88.7%. This technology has significant implications for real-time drone monitoring in military and industrial settings.
Researchers developed a compact antenna-in-package wireless module that achieves 144 Gbps data transmission in the 150 GHz sub-terahertz band, paving the way for future 6G devices. The technology uses phased-array transceivers and dual-polarized MIMO to increase communication efficiency and capacity.
Researchers developed a new design strategy to overcome limitations in metasurface-based approaches, creating a response that enables strong, fast modulation across a wider range of colours. This advance provides a pathway for compact, high-speed optical devices with potential applications in faster data transmission and future light-b...
Researchers found that high-power pulses can distribute light evenly across seven cores in a multicore fiber, reducing fluctuations and improving stability. The effect is robust and not affected by disturbances such as bending or twisting, opening new possibilities for efficient and powerful laser systems.
Researchers have developed a new photonic architecture that enables scalable spatiotemporal interleaving networks for high-density integrated photonic convolution. The SPIN (Spatiotemporal Photonic Interleaving Network) framework reduces waveguide complexity and increases programmability in wavelength-domain interleaving, enabling comp...
MIT researchers develop a new fabrication platform to integrate molecules into electronic devices, enabling next-generation computing technologies and emerging applications. The technique uses nanoscale surface forces to mechanically assemble delicate molecular materials without damaging them.
Seoul National University researchers have developed an off-stochiometric anode material that enables safe, ultra-fast charging of lithium-ion batteries. The new design strategy overcomes kinetic limitations and preserves the NASICON structure against irreversible damage.
Researchers at Kennesaw State University are using interactive visualizations to improve students' understanding of complex semiconductor concepts, bridging the gap between abstract theory and real-world behavior.
Resonant meta-devices revolutionize imaging and display by achieving ultra-narrowband wavefront shaping and spectral decoupling. They enable multifunctional, high-purity light-field control with applications in AR/VR, LiDAR, quantum photonics, and biosensing.
Illinois researchers have discovered a new type of quantum light emitter in diamonds that could help overcome challenges facing quantum technologies. The newly identified IL1 center emits bright and narrowband quantum light while remaining insensitive to crystal vibrations, which is a significant obstacle for existing quantum systems.
Wearable sensors can track dynamic changes in uric acid levels, providing valuable information for assessing healing progress and adjusting treatment plans. Researchers have improved the accuracy and reliability of these sensors using new materials and technologies.
Researchers have developed a novel hybrid control strategy for quasi-zero stiffness isolators, addressing payload variations and residual resonant peaks. The 'smart cushion' can adapt to changing loads in seconds, making it crucial for precision applications like chip manufacturing and robot handling of fragile goods.
A transient electronic state plays a key role in the formation of a photoinduced hidden state in a metal–organic framework, which can be controlled with light for future applications. The study provides new insights into designing materials with novel optical properties.
A team of researchers from Chiba University developed a method to monitor laser ablation in real time by detecting tiny push-back forces during laser cutting. By tracking the recoil force, they can sense depth and detect completion in real time, allowing for precise control over the process.
Researchers from the University of Toyama developed an OLED that incorporates a crystalline rubrene thin film, achieving higher current density and reduced luminance turn-on voltage. The study suggests that organic crystals with high charge-transport properties can be integrated into practical thin-film OLEDs.
A team of researchers at Harvard and Max Planck Institute have developed three new functional components for photonic microchips using an inverse design algorithm. The compact designs are about 500 times smaller than conventional designs and offer a path toward higher-performance integrated light technologies.
Researchers at Harvard John A. Paulson School of Engineering and Applied Sciences have developed a new AI framework called Orla that streamlines building and running AI workflows. In tests, Orla reduced computing costs and response times without sacrificing quality.
Researchers developed a self-aligned, thin-film growth technology to grow tellurium film in a uniform crystal orientation at a low temperature of 150°C. This approach enables the precise fabrication of high-quality semiconductor films for next-generation semiconductors and optoelectronic devices.
Researchers at Osaka Metropolitan University developed a practical imaging technique to visualize surface plasmon polaritons, electromagnetic waves traveling along metal surfaces. The method uses quantum dots to create sensitizers that can capture images of the waves under normal laboratory conditions.
Researchers at NUS CDE developed compact memristive radio-frequency switches that can be integrated onto gallium nitride microchips. The switches retain their settings without continuous power, reducing chip size and power use.
A Tulane University team is using AI to discover new superconductors, which could improve the nation's electrical grid, medical imaging, and quantum computing. The project combines high-fidelity calculations, physics-aware AI, and experimental measurements to accelerate discovery.
A KAIST research team has developed a non-contact, non-destructive method to measure minute variations in battery electrode thickness, improving battery safety and quality by identifying invisible defects during manufacturing. The technology combines terahertz waves with an optical frequency comb for ultra-precise measurements.