Articles tagged with Microelectronics
Researchers at Nanyang Technological University, Singapore, have created soft electronic sensors that can detect bioelectric signals from skin, muscles, and organs. These sensors empower individuals with limb disabilities to control robotic prostheses, machinery, and motorized wheelchairs using alternative muscle movements.
Researchers at Osaka University have developed a new thermoelectric material that can improve the efficiency of temperature-to-electricity conversion, enabling more sustainable IoT applications. The innovation has potential to power environmental monitoring systems and wearable devices.
Focused ion beam technology has numerous applications in material processing, microelectronics, and life sciences. The instrument uses a finely focused ion beam for nanoscale analysis, prototype creation, and material modification.
A novel low-cost UAV platform for electrical transmission line inspection has been developed, utilizing a GNSS receiver, RGB camera, and mm wave radar. The system enables small drones to inspect transmission lines at close range, addressing challenges such as magnetic field interference and harsh environments.
The POLINA project will develop new materials and technologies for medical applications, aiming to revolutionize bioprinting for safer, smarter and affordable medical devices. The project will create micropatterned cell surface models to help study lung diseases and design new tracheal implants.
Researchers at Rensselaer Polytechnic Institute are working on new materials that can be made even smaller than current copper wires while offering far less electrical resistance. The goal is to create smaller, faster, and more energy-efficient computer chips.
A team of UCLA researchers has developed a stable and fully solid-state thermal transistor that uses an electric field to control heat movement in semiconductor devices. The device boasts record-high performance with switching speeds over 1 megahertz and tunability of up to 1,300%.
The LoCKAmp device uses lab-on-a-chip technology to detect Covid-19 and other pathogens in just three minutes, providing rapid and accurate results. The device has the potential to be used in remote healthcare settings and could also detect conditions like cancer.
The EU-funded GreenChips-EDU project brings together 15 universities, companies, and research institutions to train specialists in sustainable microelectronics. The program aims to address the industry's skills shortage and promote energy-efficient microchips, with a focus on power electronics.
Jinglei Ping, a UMass Amherst engineering professor, has received a $1.9 million grant to investigate a new method of regulating exosome traffic using electronic signals. This approach aims to control cell communication in cancer and heart disease research.
Scientists from Meijo University successfully fabricated vertical AlGaN-based UV-B semiconductor laser diodes with distinct characteristics, operating at room temperature and exhibiting high optical output. The devices overcome existing challenges in fabrication and pave the way for novel manufacturing processes.
A new study by Meijo University researchers explores a novel method for removing insulating substrates from AlGaN semiconductors using heated and pressurized water. The method enhances conductivity, applicability to various semiconductor wafers, and has potential for high-power UV-light emitting devices.
Researchers have created a magnetoelectric material that can directly stimulate neural tissue, potentially treating neurological disorders and nerve damage. The material generates an electric signal that neurons can detect, overcoming previous limitations.
The interdisciplinary team, led by Kaiyuan Yang, will focus on leveraging the spin and charge of electrons in multiferroics to process and store information. The goal is to improve energy efficiency for computing devices, potentially reducing energy consumption by three orders of magnitude.
The university will use its expertise to create better wide bandgap semiconductors for the US defense, with potential applications in electric vehicles, power grids, and quantum technologies. The hub aims to build 'lab to fab' capability for semiconductors and enhance fundamental research.
A new device design inspires improved integrated circuit designs by visualizing electric current flow lines around sharp bends. The research enables better understanding of heat generation in electronic devices, leading to more efficient circuit creation and reduced risk of overheating.
Researchers from Meijo University and King Abdullah University of Science and Technology have developed high-performance micro-LEDs capable of meeting the brightness and definition demands of modern immersive reality technologies. The LEDs use gallium indium nitride semiconductors and can produce full-color imaging at high resolution.
The Enchilada Trap enables scientists to build more powerful machines for quantum computing. It can store and transport up to 200 qubits using a network of five trapping zones, enabling researchers to test architectures with many qubits.
A breakthrough in photonic memory has been achieved, enabling fast volatile modulation and nonvolatile weight storage for rapid training of optical neural networks. The 5-bit photonic memory utilizes a low-loss PCM antimonite to achieve rapid response times and energy-efficient processing.
Researchers at UB discovered a new approach to understand insulator-to-metal transitions, resolving discrepancies with the Landau-Zener formula. The study's 'quantum avalanche' theory explains how electrons can flow between bands in an insulator, providing clarity on the phenomenon.
A mouse study using novel biosensing technology reveals that enriched environments increase neural connections and boost brain function. The findings could lead to new AI methods inspired by brain plasticity.
A team at the University of Washington has made a breakthrough in quantum computing by detecting signatures of 'fractional quantum anomalous Hall' (FQAH) states in semiconductor materials. This discovery marks a significant step towards building stable qubits and potentially developing fault-tolerant quantum computers.
Researchers at Carnegie Mellon University and Penn State University have discovered novel ferroelectric materials that can switch at the atomic level, enabling more efficient microelectronics. The findings hold promise for applications such as non-volatile memory, electro-optics, and energy harvesting.
Researchers have successfully characterized a single atom using X-ray beams, detecting its elemental type and chemical properties. This breakthrough could revolutionize fields like quantum information technology, environmental science, and medical research by enabling the study of individual atoms.
Researchers developed a neural device that detects specific neurotransmitters in the brain, enabling new brain research methods for prevention and treatment of diseases. The device combines multifunctional fibers and DNA molecular probes, providing high sensitivity and selectivity.
Researchers from Brigham and Women's Hospital developed an ingestible capsule, known as the FLASH system, which electronically stimulates key hunger hormone ghrelin in pigs. The system has potential applications for treating gastrointestinal disorders and is a promising alternative to traditional treatments.
Researchers at the University of Cambridge have developed a new method for making smart fabrics that is cheaper and more sustainable. They achieved this by weaving electronic components into conventional textiles using industrial looms, breaking away from traditional specialized microelectronic fabrication facilities.
Researchers developed a powerful simulation model that predicts the conformability of flexible electronics on spherical surfaces. This allows for faster design process, determining optimal design without needing extensive experiments.
Researchers at USC have developed a new type of chip with the best memory of any chip thus far for edge AI. The chip uses metal oxide memristors to store information in a compact and stable way, eliminating the von Neumann bottleneck in current computing systems.
Scientists at TU Wien have developed a technique to control the shape and size of nano gold structures using highly charged ions. The experiment shows that the impact force is not the decisive factor, but rather the electrical charge of the ions, which deposits energy at the point of impact and disrupts the crystal structure of the gold.
The new technology enables compact, low-power, fast, and energy-efficient devices for fibre-optical communications, sensors, and future quantum computers. This breakthrough could lead to advancements in applications such as 3D imaging for autonomous vehicles and photonic-assisted computing.
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 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.
A new approach fabricates specialized transistors that serve as the building block of a timing device, enabling enhanced integration and advancing microelectronics capabilities. This innovation repurposes data processing transistors into a 'clock' device, addressing supply chain weaknesses and enhancing chip security.
Researchers at Tohoku University developed a microelectronic fiber that can analyze electrolytes and metabolites in sweat, enabling wearable bioelectronics for monitoring biochemical signatures. The breakthrough smart fabric has the potential to provide greater versatility in functions, larger sensing areas, and greater comfort.
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.
TU Wien researchers have developed a method to overcome errors in tiny transistors by considering circuit-level behavior. This approach enables significant advances in chip miniaturization and performance.
Researchers at Brookhaven National Laboratory have successfully discovered new materials using artificial intelligence and self-assembly. The AI-driven technique led to the discovery of three new nanostructures, expanding the scope of self-assembly's applications in microelectronics and catalysis.
The Center for Aggressive Scaling by Advanced Processes for Electronics and Photonics (ASAP) aims to develop new fundamental technology solutions to reduce energy consumption in microprocessors. The center will focus on materials discovery, heterogeneous 3D integration, and highly energy-efficient circuits and architectures.
The Center for Ubiquitous Connectivity (CUbiC) aims to flatten the computation-communication gap by delivering seamless Edge-to-Cloud connectivity with transformational reductions in energy consumption. Led by Columbia Engineering Professor Keren Bergman, CUbiC will create new ultra-energy efficient technologies and system architectures.
Electrons play a key role in facilitating rapid heat transfer between layers of 2D semiconductor materials, allowing for efficient energy dissipation in futuristic electronic devices. The study provides new insights into the behavior of atomic motions and electronic pathways in nanoscale junctions.
Researchers at CELIA have developed a laser drilling method that creates elongated, crack-free micro-holes in glass. This breakthrough allows for high-aspect ratio holes with smooth inner walls, enabling new applications in microelectronics.
Georgia Tech researchers developed a new nanoelectronics platform based on graphene, enabling smaller devices, higher speeds, and less heat. The platform may lead to the discovery of a new quasiparticle, potentially exploiting the elusive Majorana fermion.
Researchers at Argonne National Laboratory have developed a way to rotate a single molecule, europium complex, clockwise or counterclockwise on demand. This technology could lead to breakthroughs in microelectronics, quantum computing and more.
Researchers at Argonne National Laboratory develop a new method to create crystalline materials with two or more elements, yielding previously unknown compounds with exotic properties. The discovery has potential applications in superconductors, energy transmission, high-speed transportation, and energy-efficient microelectronics.
Scientists at Johannes Gutenberg University Mainz have developed a new class of materials for transporting spin waves over long distances in antiferromagnets. This breakthrough could significantly increase computing speed and reduce waste heat in microelectronic devices.
Researchers found that boron arsenide's thermal conductivity decreases at extremely high pressures, breaking the general rule of pressure dependence. This discovery may lead to novel materials for smart energy systems with built-in 'pressure windows'.
Scientists at North Carolina State University have created a low-cost solution for making wearable electronics by embroidering power-generating yarns onto fabric. The technique allows for self-powered sensors, including motion tracking and numeric keypads, with durable performance even after washing and rubbing tests.
Researchers at Penn Engineering have created a chip that outstrips existing quantum communications hardware, communicating in qudits and doubling the quantum information space. The technology enables significant advances in quantum cryptography, raising the maximum secure key rate for information exchange.
Scientists at Argonne National Laboratory have discovered tiny magnetic vortices called skyrmions that could store data in computers, promising 100-1000 times better energy efficiency than current memory. The team used AI and a high-power electron microscope to visualize and study the behavior of these micro-scale magnetic structures.
Researchers have developed wearable electronics paired with artificial intelligence to detect emerging health problems, such as heart disease and cancer, before symptoms appear. The device can perform personalized analysis of tracked health data while minimizing wireless transmission.
Researchers from LP3 Laboratory developed a light-based technique for local material processing in three-dimensional space of semiconductor chips. They successfully fabricated embedded structures inside Si and GaAs materials, which cannot be 3D processed with conventional ultrafast lasers.
The CMU Array, a new microelectrode array, offers customized treatments for neurological disorders by allowing for three-dimensional sampling and ultra-high-density configurations. This technology has the potential to transform how doctors treat conditions like epilepsy and limb function loss.
Researchers at WVU are resurrecting discarded electronics, recovering minerals, and making new products for national defense. The technology also has promise beyond national defense, including community-level e-waste recycling and space applications.
Scientists at Kyushu University have developed organic molecules that align in the same direction, creating a 'giant surface potential' when evaporated onto a surface. This alignment leads to a significant electric field, which can improve OLED efficiency and open new routes for realizing devices that convert vibrations into electricity.
The NeuRRAM chip demonstrates wide range of AI applications with equivalent accuracy while reducing energy consumption by up to 70% compared to traditional compute platforms. It also supports various neural network models and architectures, enabling diverse AI applications on edge devices.
Researchers developed a thin-layer version of barium titanate, enabling faster switching and lower voltages for next-gen memory and logic devices. The findings could pave the way for more sustainable computing power with reduced energy consumption.
Researchers have discovered a way to mitigate significant losses in spin current transport by integrating an atom-thin insulator between materials. This innovation has important implications for energy-efficient and ultra-fast storage technologies, as well as applications in terahertz emitters and other spintronic devices.
The Center for Advanced Electronics through Machine Learning (CAEML) has received Phase II funding to apply machine learning to electronic circuit design, increasing efficiency and reliability. The center will focus on five technical challenges, including analog circuit design and security of design IP.