Articles tagged with Semiconductors
A collaborative group of researchers has demonstrated charge sensing, high-frequency reflectometry, and the formation of a few-electron double quantum dot in a ZnO device. This breakthrough bridges a critical experimental gap for zinc oxide quantum devices, enabling the investigation of fundamental spin properties.
Fraunhofer IAF presents research activities in AI tools for chip design and III-V semiconductor manufacturing for pilot lines. The institute highlights its expertise in connecting artificial intelligence and chip design, as well as its access to powerful and sovereign III-V pilot lines.
Researchers have developed a technology that stacks semiconductor devices with different response speeds to process fast and slow signal changes together. The technology could be applied to small devices that analyze movement and physiological signals, enabling the recognition of changes in motion over time.
Researchers at NUS CDE have developed a reconfigurable transistor that can switch between filtering image data and performing AI network functions, reducing energy consumption and improving accuracy in handwritten-digit recognition simulations. The device uses a spiking neural network-in-logic architecture to selectively pass relevant ...
A new memory technology tames heat at the nanoscale, enabling rapid switching and reducing energy consumption. By stacking alternating layers of conductive and insulating materials, the researchers achieve a 76% reduction in reset energy demand and a 30-fold decrease in data drift.
Researchers at KAIST have developed a technology to extend the lifespan of anode-free batteries by applying nanofabrication techniques to create uniform sites for lithium deposition and a robust protective layer. This technology enables smaller and lighter EV batteries with improved energy density.
University of Tennessee MSE faculty members Sergei Kalinin and Mahshid Ahmadi contribute to the DOE's Genesis Mission, a $5 billion program developing AI tools for energy and scientific research. Kalinin's research accelerates materials discovery, while Ahmadi works on defending agentic AIs from adversarial attacks.
This technology optimizes the structural design and placement of barrier materials to enhance light-signal transmission in photonic integrated circuits. It improves the deposition and manipulation of silicon carbon nitride and silicon nitride, leading to enhanced PIC reliability and longevity.
This technology enables compact and efficient power electronics by integrating bidirectional voltage blocking in a single device, addressing longstanding limitations in SiC MOSFET designs. The device features a novel unit-cell structure and Schottky diode integration, significantly reducing chip area and improving manufacturing yield.
The new method uses a chemical additive to create a sacrificial molecular cushion on the crystal surface, allowing for smoother cutting and reducing defects. This technique slashes subsurface crystal defects to a depth of only 70 nanometers, promising to revolutionize semiconductor manufacturing.
Researchers developed a single-material 'universal charge injector' that injects charge into two types of ultrathin semiconductors using tin diselenide (SnSe2). This technology addresses a major obstacle in atomically thin semiconductors, enabling efficient charge injection and paving the way for smaller, more energy-efficient AI chips.
Researchers at Eindhoven University of Technology have developed a new chip that enables AI computations closer to the user, reducing energy consumption and reliance on data centers. By moving AI computations to the edge, data does not have to travel back and forth to a data center, making applications faster and more privacy-friendly.
Researchers have developed flexible and ultra-fast artificial synapses printed entirely from room-temperature liquid inks. These brain-inspired chips can process health data directly on the body and dissolve when no longer needed, eliminating the need for extreme vacuum chambers and rare metals.
The NY Creates and Micron Technology Joint Apprenticeship program has welcomed its first cohort of 10 apprentices, introducing them to hands-on, advanced R&D training and technical career pathways in the semiconductor industry. Participants will gain expertise in producing new and innovative technologies, shaping the future of technology.
The SUNY Technology Accelerator Fund is providing grants to support research in AI, energy-efficient semiconductors, and non-invasive monitoring. Five campuses will receive funding for projects that could improve cancer diagnostics, circadian rhythm disorders, and burn diagnostics.
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.
Researchers at CiQUS have developed a new strategy to produce semiconducting covalent organic frameworks without doping, retaining high porosity and electrical conductivity. The approach uses radical molecules to generate charge carriers, facilitating charge transport and tuning electronic properties.
Kyocera and Tohoku University developed a new technology integrating optical isolators onto silicon photonics chips using laser annealing. This method allows for localized heating, reducing damage to surrounding components. The technology resulted in an isolation ratio of 13.6 dB, confirming its operation as an optical isolator.
NY Creates is part of a collaboration to advance high NA EUV lithography and transition to larger 6-by-12-inch mask format, enabling single-exposure printing of larger chip areas. This initiative aims to strengthen the industry's capabilities and support next-generation semiconductor innovation.
Researchers have created an electrochemical approach to extract pure hydrogen gas from ammonia while separating and concentrating it into a high-purity stream. This method reduces the temperature and energy required to recover hydrogen, producing a concentrated stream of hydrogen gas without the need for additional purification.
Researchers identified three unconventional quantum materials that can amplify tiny dark matter signals, outperforming existing detectors. These materials, including titanium diselenide, could detect light dark matter particles with unprecedented sensitivity, potentially unlocking a new frontier in dark matter research.
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 at Tokyo Metropolitan University discovered that reducing pressure helps extend plasma lifetime and increase atomic oxygen availability. The findings promise more effective oxygen plasma treatments for industries, including biomedical and semiconductor sectors.
The $8 million grant will unite Boise State, University of Idaho, and three community colleges to develop resilient microelectronics for extreme environments. The project aims to create long-term research infrastructure and train students in materials science and engineering.
Researchers developed SOT-MRAM, a fast and energy-efficient memory tech, to address AI's increasing energy needs. The technology can reduce energy consumption by up to 5x, making it suitable for edge devices and applications where power is limited.
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.
NY Creates will receive $1.25 million to support research, technology scaling, and workforce development in quantum computing. The institute aims to overcome significant barriers to practical quantum computing by developing techniques for fabricating hardware and education programs.
MIT researchers developed a framework, CrysVCD, to generate stable materials with desired properties, reducing the need for extensive screening. The approach improves material stability by 70% and supports the creation of high-performance materials, such as computer chips and data centers.
Researchers from the University of Osaka have developed a prediction framework that rapidly evaluates promising quantum materials without sacrificing accuracy. The framework enables the evaluation of optical losses using simplified theoretical expressions, making searches much more tractable.
Researchers at Nagoya University developed a new way to lower the resistance of p-type GaN contacts by depositing an ultrathin magnesium layer and applying a brief heat treatment. This approach achieves a contact resistivity of (1–3) × 10⁻⁴ Ω cm², a significant improvement over existing methods. The new process has promise for accelera...
Researchers at Princeton University have created a semiconductor that can change its properties in response to light, enabling the creation of energy-efficient sensors and computing technologies. This breakthrough material is just a few molecules thick and can be programmed, erased, and reprogrammed with light.
KAIST researchers develop a new 'oxygen tunnel' structure to stabilize oxygen vacancies in oxide semiconductors, achieving world-class current density and data retention time. The technology is expected to improve next-generation compute-in-memory systems and accelerate AI era advancements.
Researchers developed a technique to control internal structure of semiconductor materials using ultra-fast flashes of light, producing materials with up to 50 times more electrical current from light. The method works on transparent conducting glass, preserving useful properties that conventional heating methods cannot easily achieve.
More than 400 executives and policymakers will attend the forum to examine opportunities and challenges shaping the global photonics industry. The event features keynote presentations from industry leaders and a celebration of the 2026 Optica i4 Prize winners.
Researchers develop a novel semiconductor technology that tunes noise to process different types of signals, enabling selective encoding of time-series signals across different frequency bands. The technology achieved accuracies of 94.8% in human activity recognition and 95.0% in speech recognition.
Researchers at the University of Minnesota have discovered that low-purity iron ore from the state's Iron Range can be used to create semiconductor-quality pyrite, a process that could lead to cost-effective and sustainable applications in electronics, solar panels, batteries, and more.
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 at Seoul National University developed a technology to mass-produce 6G antennas on wafers, integrating antennas and RF semiconductor switches. This approach enables the production of ultra-high-density antenna arrays required for 6G and satellite communications in smaller form factors.
Researchers have developed an AI semiconductor device that temporarily remembers recent inputs while autonomously forgetting older information. This technology enables continuous processing of complex time-series signals without a separate reset process, representing a key innovation for low-power edge AI systems.
Researchers redesign atomic interface to balance competing requirements, enabling aggressive dielectric scaling and preserving electrical performance in atomically thin transistors. This breakthrough advances wafer-scale manufacturing and paves the way for faster, smaller, and more energy-efficient devices.
Researchers at Sungkyunkwan University have identified a new principle that controls charge separation in molecular aggregates, crucial for efficient energy devices like organic solar cells and artificial photosynthesis systems. The discovery reveals a fundamental mechanism of charge transfer governed by the surrounding solvent environ...
Researchers developed two technologies to improve electrical conductivity in organic materials, generating more charge carriers and reconnecting broken pathways. The findings showed significant improvements in conductivity, with one technology increasing electron concentration by over 3,000 S cm−1.
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.
Researchers developed an inverse-design framework to optimize magnonic crystal design, identifying unconventional lattice structures with large band gaps. The approach enables the exploration of previously unexplored material systems and device dimensions, paving the way for high-speed spin-wave computing and energy-efficient devices
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.
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.
Engineers create optimized interfacial energy barrier in NbSe2/WSe2 heterostructure to accelerate charge separation while suppressing dark current. This approach enables high-speed optical imaging with enhanced fidelity, opening a promising route for next-generation optoelectronic devices.
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 at the University of Michigan have created a device that enables control of electron flow using laser light, potentially leading to advancements in sensing, imaging, and telecommunications. The phenomenon relies on quantum interference, allowing for directional control of electrons.
A new layered crystal, TlFe1.6Se2, combines high thermoelectric power factor with exceptionally low thermal conductivity, offering a promising strategy for designing next-generation thermoelectric materials. The material's unique electronic properties and Fe-vacancy ordering enhance its performance.
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,...
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 consortium of nearly 100 partners in Oregon will receive up to $160 million from the NSF to grow the state's semiconductor ecosystem. The initiative aims to accelerate innovation, advance energy grid security, and boost regional economies.
Researchers developed an AI model to optimize water usage in agriculture and semiconductor manufacturing. The model identifies cause-and-effect relationships between water availability, crop needs, and industrial expansion, generating recommendations for each state.
A KAIST-Sungkyunkwan University joint research team has developed a new two-dimensional semiconductor structure where electricity flows without obstruction. The team demonstrated that current can flow across the boundary between semi-metallic and semiconducting regions without being blocked.
Researchers at KAIST developed technology to automatically identify and fabricate two-dimensional semiconductors, revealing the relationship between thickness and performance. The technology enables data-driven research and accelerates the commercialization of AI semiconductors and ultra-low-power semiconductors.
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.
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 ...
The University of Texas at Dallas is leading a new National Network for Microelectronics Education South Regional Node to build a workforce with the knowledge, skills and abilities that employers need. The initiative aims to address the growing demand for expertise in advanced manufacturing, particularly in technician positions.