A new study highlights micro-transfer printing as a promising approach for realizing heterogeneous integration in silicon photonics. The technique combines benefits of die-level assembly with wafer-scale processing, enabling seamless co-integration of diverse material systems onto large-area platforms.
Researchers developed a perception-driven display strategy that balances real-world brightness and virtual image quality. The technology improves real-world visibility while maintaining convincing appearance for virtual content under different lighting conditions.
Kyushu University researchers have developed prototype thin-film electronic modules that can automatically connect and disconnect with each other. The modules use a kinetic electronics approach, integrating actuators and circuits on the same thin-film to create an electromechanical docking mechanism.
Researchers developed a Joint DAS and GNSS system that blends traditional GPS with Distributed Acoustic Sensing for reliable tracking. In real-world trials, the system outperformed GPS-only tracking and proved resilient on lower-powered devices, supporting widespread smartphone and IoT sensor adoption.
Researchers at UCLA have demonstrated a way to integrate terahertz functions onto a single chip using quantum well structures, paving the way for compact and scalable systems. This breakthrough could enable practical and widespread use of terahertz technology in applications such as ultrafast wireless communication, security screening,...
Flexible electromagnetic induction-type tactile sensors offer a promising route for low-power, robust and self-powered interfaces. The researchers provided a systematic roadmap for development, including application-oriented design and multimodal integration with other sensing mechanisms.
Researchers have developed a detector that delivers high sensitivity while operating at ordinary room temperature, using carbon nanotubes and a pyroelectric lithium niobate crystal. The device surpasses earlier graphene-based detectors by several orders of magnitude and offers a broad spectral range without cryogenic cooling.
A new study reveals that tiny gaps in ultra-thin devices can strongly influence unwanted electrical leakage. Researchers found that conventional expectations about insulating materials can change at the atomic scale, requiring engineers to consider the full device structure.
A European energy system model determines that a uniform benchmark for vehicle charging infrastructure is not optimal, as the cost-optimal level varies by country. Customized targets for EU member states can unlock benefits through smart charging technologies like V1G and V2G.
Researchers unveiled a technique to build ultra-clean 2D heterostructures using muscovite crystals, eliminating microscopic residues that disrupt electronic device performance. This method enables precise stacking of atomic layers, leading to new properties and potential breakthroughs in quantum computing and nanoelectronics.
Researchers developed a photospike-based TRNG that harnesses unpredictable light-induced electrical charges to generate true random numbers. The device passed all 15 randomness tests and remained stable over millions of cycles, making it suitable for image authentication and deepfake detection.
Researchers have developed a novel technique to observe real-time domain wall behavior in ferroelectric materials during 'poling' and 'depoling', providing deeper insights into the mechanisms at play. This breakthrough resolves longstanding debates about AC and DC poling, shedding light on the polarization state of these materials.
A PolyU project has developed an intelligent portable traffic light system to address bottlenecks during roadworks on narrow streets in Hong Kong. The system uses advanced sensing technologies and adaptive algorithms to dynamically adjust signal timings, reducing traffic queues and preventing gridlock.
Researchers at Tokyo University of Science found that accounting for the time scale of a target system improves ESN hyperparameter settings, leading to better prediction accuracy. The study provides guidelines for designing optimal ESN settings based on the time scale.
Researchers at MIT have discovered a method to extend the lifespan of quantum dot LEDs by encapsulating them in an acrylate-based resin. This breakthrough has the potential to revolutionize the development of energy-efficient digital displays, including flat-screen TVs, augmented and virtual reality headsets, smartphone screens, and me...
Researchers have developed a novel quantum material that can naturally enable the study of non-Hermitian dynamics, a phenomenon where systems exhibit unusual behaviors. The material, a magnetic topological insulator, allows for the creation of electronic networks with direction-dependent connections, enabling the accumulation of states...
Researchers from Institute of Science Tokyo have created a compact 300-GHz-band 4×4 bi-directional phased-array transceiver in 65-nm CMOS, achieving significant advancements in 6G wireless communication. The transceiver operates over 240–270 GHz and consumes only 26 mW per element.
Researchers developed a technology to stack ultrathin semiconductor chips with improved integration density, overcoming challenges of chip thickness and warpage. The process enables the reliable stacking of over ten chips, potentially leading to significant improvements in AI semiconductor performance.
Researchers have developed a new kind of point-of-load converter to step down power from 48 volts to 1 volt, achieving higher efficiency and faster power delivery. This technology could significantly reduce energy consumption and thermal stress in AI data centers.
A research team at Pohang University of Science & Technology has developed a next-generation semiconductor with enhanced performance and stability. The breakthrough solution, called 'Volatile Surface Reconstruction,' converts unreacted tin ions into a volatile compound that volatilizes, while creating a self-protective layer to shield ...
A KAIST research team analyzed the computational cost and energy consumption of AI agents, finding they consume up to 136.5 times more energy per query than conventional generative AI. This study highlights the importance of optimizing AI semiconductors, data centers, and power infrastructure for sustainable AI development.
Binghamton University has opened a cutting-edge cleanroom facility to support innovative research in advanced chip manufacturing. The new space will train over 100 students annually in this high-tech field.
A new imaging technology at UH helps scientists study exosomes, tiny particles released by human cells that may be targets for diseases. The technology uses advanced lighting at the nanoscale to analyze exosomes one at a time, measuring features to pinpoint good drug targets.
Scientists have developed a new type of battery that harnesses ambient moisture to power IoT devices, offering a sustainable alternative to toxic materials. The batteries can be stretched without losing energy density, making them ideal for wearable monitors and medical devices.
Researchers at Institute of Science Tokyo developed a new transceiver that solves self-interference in full-duplex wireless systems, doubling spectrum efficiency and reducing complexity. The design enables simultaneous transmission and reception using time-division switching strategy.
The U-Shift II project develops a vehicle that can transform into different types of vehicles, such as a shuttle or cargo van, using replaceable capsules. This concept enables flexible adaptation to various tasks, saving resources and promoting sustainable mobility.
Researchers at Rice University develop a new way to model the cochlea's sound processing using graph signal processing, identifying broader functional relationships between sensory cells. The model, called GSP Cochlea, performs better in detecting signals in noise and may hold the key to personalized device settings for hearing aids.
Researchers developed a perovskite/In0.47Ga0.53As thin-film heterojunction to create high-sensitive DUV-SWIR photodetectors with optimal stability and performance. The device achieved 98.9% retention of initial performance after 30,000 cycles.
Researchers develop a new strategy to control electronic and magnetic properties of oxide thin films through nanoparticle exsolution, resulting in giant insulator-to-metal transition and room-temperature superparamagnetism
Researchers developed a non-contact optical sensing strategy to detect ethanol molecules in air using light-field distortions and deep learning. The system employs a graphene-based Fresnel lens to focus light through interference, capturing minute changes in the focal spot formed by the lens.
Researchers developed a black phosphorus-based all-fiber photonic artificial intelligence diagnostic platform, achieving 246-fold energy efficiency gains. The system achieved 95.0% accuracy in retinal detachment detection and 97.6% specificity in hepatocellular carcinoma diagnosis.
Researchers at Harvard's SEAS have developed a highly sensitive calorimeter that can detect metabolic heat signals on the order of 100 picowatts in living cells. The device tracks the growth of small populations of bacteria in real-time, including monitoring how bacterial growth changes in response to different antibiotics.
A new dual-broadband liquid-crystal programmable metasurface (LCPM) enables flexible beam manipulation across two frequency bands, supporting high-speed data transmission under various modulation schemes. The device offers stable non-line-of-sight links and reliable communication at extended propagation lengths.
Researchers create programmable neuromorphic hardware platform that mimics biological neurons at extremely low temperatures. This technology enhances quantum error correction and real-time control, paving the way for complex data processing in space.
A grid cybersecurity framework developed by ORNL has been licensed by GridForge Energy Solutions to improve real-time grid visibility. The patented Cyber Grid Guard platform uses blockchain technology to instantly detect unusual grid activity, data manipulation, and illicit changes to device settings.
Researchers create self-regulating electrolyzer that produces solar fuels stably without relying on batteries, reducing costs and complexity. The new system autonomously adjusts its electrical behavior through thermal properties, keeping fuel production stable throughout the day.
The University at Albany has received a $1.3 million award from the National Science Foundation (NSF) to establish an advanced wireless testbed, enabling researchers to develop next-generation technologies for wireless communications and sensing systems across a wide range of frequencies.
By integrating GaN transistors into a diamond substrate, researchers have improved the speed and energy-efficiency of next-generation wireless devices. The diamond layer spreads and manages heat, allowing the transistors to operate at peak performance without degrading reliability.
A team of NUS researchers has developed a self-testing quantum chip that generates certified random numbers while verifying its own measurement hardware's functionality. The chip, published in PRX Quantum, removes the trust assumption in traditional random number generators.
Researchers developed a transistor technology that enables a single device to perform multiple circuit functions simultaneously, simplifying circuit design and increasing data processing speed. The new approach reduces required transistors by 75% and increases data processing speed fourfold.
Researchers clarify microscopic origin of charge noise in silicon spin qubits, attributing it to electronic transitions between conduction band and trap states. Higher temperatures improve gate fidelity by reducing switching rates and transition times.
Researchers developed an interferometric second-harmonic generation imaging approach to identify antiparallel domains and detect hidden structural defects in hBN thin films. The study finds that SHG intensity is closely associated with differences in crystal orientation and destructive interference between domains.
Researchers have developed soft, brain-inspired electronics that can sense, store, and process information while conforming to biological tissues. These devices mimic the chemical processing of the human brain, executing complex tasks like heart rhythm classification at ultra-low voltages.
The RBA hydrogels can stretch to more than three times their original length while remaining mechanically stable. They were used as strain sensors to detect subtle facial movements and distinguish between walking, jogging, and running in real time.
Researchers at Virginia Tech have developed an 'acoustic atom' that traps and controls sound waves in ways that mimic real atoms. This breakthrough could influence technologies connected to quantum AI, telecommunication, medical imaging, GPS, and more.
A University of Utah team developed a smartwatch prototype that tracks blood pressure and flow using electrical properties of blood flow for continuous, cuff-free readings. The technology harnesses physics and machine learning to provide accurate and interpretable results.
Researchers optimize blue perovskite LEDs by introducing ordered dipolar PVDF, improving carrier transport and recombination. The breakthrough results in world-record device performance, exceeding 43.9 lm W−1 peak power efficiency.
Researchers introduce phosphonate ester groups into conductive polymer films to balance electronic charge transport and ion transport, improving OECT performance. The approach enables precise tuning of polymer properties without redesigning monomers.
A team of Monash University students has developed ANTRUM, a wearable tracking and navigation system designed for high-risk underground settings. The palm-sized device allows users to locate their exploration partner and navigate back towards the cave entrance.
Researchers at MIT have developed a low-temperature process to extract battery-grade lithium from hard rock minerals, minimizing waste and costs. The closed-loop system can produce useful materials, including lithium salts, alumina, and silica, with an estimated cost reduction of half compared to traditional methods.
Lanzhou Jiaotong University researchers developed a droplet-based energy harvesting technology that converts secondary wastewater effluents into electricity. The system achieved high output performance and successfully powered LED lights, demonstrating its practical energy harvesting capability.
Javad Khazaei's research focuses on developing a novel geometry-based predictive control paradigm for distributed energy resources in power systems. By simplifying complex nonlinear systems using reduced-order modeling, his approach aims to slash data requirements and computational burden while maintaining accuracy. This work has promi...
Researchers at Binghamton University developed a system that enables users to monitor real plants in real-time using virtual reality. This technology makes farming more accessible for older adults and people with disabilities, allowing them to observe plants without physically being present.
Researchers have developed a single device that can harvest light and emit bright visible light, achieving high efficiency in both power conversion and electroluminescence. The device uses a novel organic semiconductor material with controlled energy flow, enabling it to operate at standard lithium-ion battery voltages.
Researchers at Newcastle University have created an electrically conductive, water-based reversible adhesive that can join electronic components and allow for their reuse or recycling. This technology has the potential to address the massive problem of e-waste globally.
Researchers developed an integrated process combining ruthenium-based nano through-silicon via fabrication and extreme all-dry thinning of silicon-on-insulator wafers to support backside power-delivery networks. The process achieved a resistivity of 19.9 μΩ·cm and demonstrated stable long-term operation.
Researchers at Boise State University have developed a portable device capable of detecting PFAS in water samples in real-time and at trace levels. The ENVIR-OGT technology uses specialized transistors combined with machine learning to detect PFAS chemicals rapidly and accurately, directly at the point of sampling.
A research team at Postech has developed a next-generation laser emission platform capable of precise color control under battery-level low voltage. The technology achieves ultra-high color purity and continuous spectral tunability within a single device, overcoming limitations of conventional display light sources.
University of Missouri researchers develop organic transistors that process information like biological neural networks, boosting brain-like computing and potentially leading to more energy-efficient artificial intelligence. The approach could lead to significant improvements in tasks such as pattern recognition and decision-making.
Researchers developed a novel tribovoltaic effect-based strategy for human motion energy harvesting, enabling stable direct current output and simplifying system design. Advanced device designs enhance flexibility, durability, and adaptability to complex human motions, making it suitable for wearable applications.