Researchers developed a low-temperature steam-assisted process to create durable, conductive spinel coatings on magnesium alloys for harsh acidic environments. The coating achieved ultralow corrosion current density and high sheet resistance, making it suitable for next-generation energy storage and conversion technologies.
Researchers found that composite metal foam (CMF) can absorb more energy during high-velocity impacts, reducing crash severity and improving driver and passenger safety. CMF outperformed conventional front rail designs, increasing safety limits by up to 40% and reducing maximum deceleration by 38%.
Southwest Research Institute's PaSTA technology stabilizes solar arrays for spacecraft docking, while ALTRIOS simulates locomotive energy technologies for efficient rail systems. Both innovations were recognized as two of the most important of 2026.
A study by UC San Diego researchers found that at least 2.2 million cars in the US and worldwide are vulnerable to theft due to a Bluetooth-based anti-theft system installed by dealers since 2017. The device, which can be controlled remotely via a smartphone app, has been fixed by the manufacturer with a firmware update.
Global road injury rates declined by 38.3% for new cases and 32.3% for deaths between 1990 and 2023, but progress was uneven across income groups. Low- and middle-income countries bear the greatest burden, with nearly six times higher mortality rates than high-income countries.
Oak Ridge National Laboratory researchers received five awards for their work on commercial vehicle operations, freight corridors, and integrated energy systems. ORNL's research also focuses on fuel economy guides, high-performance steel alloys, and computational tools for welding and manufacturing.
A University of Houston engineer developed a real-time safety system for quadrotor drones that can prevent accidents caused by unexpected events. The new technology uses a 'safety supervisor' module to monitor the drone's tilt and position in real time, ensuring it stays within safety limits.
Researchers at Southwest Research Institute (SwRI) have successfully demonstrated a diesel engine system designed to reduce NOx and particulate matter emissions in off-highway diesel vehicles. The system uses exhaust gas recirculation and optimized calibration strategies to achieve significant reductions in emissions.
Researchers at Fraunhofer Institute develop a GaN-based power electronics module for 800V bidirectional direct current charging systems. The module enables flexible and efficient charging with improved compactness and reduced costs.
Researchers from Kyushu University and DENSO IT Laboratory propose a new method to improve the accuracy of indirect Time-of-Flight (I-ToF) cameras by considering real-world sensor characteristics. The technology produces two tailored coding schemes that outperform conventional methods in terms of depth precision and stability, making i...
A research team led by POSTECH developed an AI framework that can predict and account for microscopic defects in metal 3D printing, improving the reliability of metal components. The framework achieves a Mean Absolute Error (MAE) of just 9.51 MPa, outperforming conventional approaches.
The AUMOVIO-NTU Corporate Lab will focus on areas like AI, sustainability, novel materials, and connectivity to develop solutions for safer, smarter, and more sustainable transportation. The joint lab aims to accelerate innovations that can support Singapore's future mobility ecosystem.
A new class of ultra-high strength and ductility steel has been created using machine learning, achieving a rare balance of extreme strength and ductility. The resulting metal resists corrosion and degrades slowly in salt-water tests.
Vision sensing systems are crucial for intelligent driving, providing critical road condition data and supporting autonomous driving functions. However, automotive-grade cameras face technical challenges such as limited dynamic range, low light performance, and image processing limitations. To address these challenges, researchers prop...
Researchers at Texas A&M University and DEVCOM Army Research Laboratory developed a hybrid foam with a 3D-printed plastic skeleton, offering tunable, lightweight and ultra-durable properties. The composite combines ordinary foam with plastic struts, allowing it to absorb more energy and withstand greater forces.
Researchers at Tokyo Metropolitan University have created a rotating tabletop device to test dynamic wireless power transfer for electric vehicles. They successfully replicated conditions of a car moving at 40 kilometers per hour, promising accelerated research into next-gen charging.
Pyrochlore oxides represent a promising next-generation approach to efficient energy storage, offering high-energy density, thermal stability, and low dielectric loss. Their potential applications include multilayer ceramic capacitors, power conditioning circuits, and miniaturized capacitors for aerospace electronics.
Researchers developed an efficient system to detect subtle defects missed by existing inspection systems. The MambaAlign framework captures long-range and orientation-aware context using state-space refinement, achieving improved localization and detection accuracy without excessive computational overhead.
LIST's patented infrared welding process enables rapid assembly of thick carbon-fibre-reinforced thermoplastic components, reducing weight, costs and environmental impact. The innovation is estimated to reduce CO2 emissions by 12.5 tonnes per wing rib.
The Advanced Driving Simulation Center enables researchers to realistically test and optimize vehicles, chassis, and advanced driver assistance systems. The simulator's high bandwidth generates fine vibrations, crucial for optimizing electric vehicle comfort.
Researchers at Pusan National University have discovered a new, faster method for treating lightweight magnesium metals using electropulsing technology. The technique, which involves applying electric pulses to the metal, can accelerate grain growth and improve mechanical properties.
Researchers developed a multi-dimensional analysis model to understand self-driving vehicles' behavior, incorporating perceptual and behavioral intelligence. The model enables rigorous evaluation of interactive cognition abilities, supporting human-vehicle-friendly interaction and fostering public trust.
Researchers at SwRI have developed a reliable testing methodology to study stochastic pre-ignition in hydrogen-fueled internal combustion engines. The methodology provides insight into lubricant-initiated pre-ignition events and supports further work on mitigation strategies and commercial lubricants.
Researchers at SwRI discovered a security vulnerability in the Signal Level Attenuation Characterization (SLAC) protocol used in electric vehicle-to-grid communications. The team successfully modeled and replicated a machine-in-the-middle attack that could manipulate or halt EV charging processes.
The upgraded engine features a state-of-the-art turbocharger, increasing peak torque from 1,494 to 1,760-foot pounds and peak power from 370 to 440 horsepower. The engine's peak efficiency has also improved to 44.0%, class-leading for a spark-ignited engine.
Research by University of Birmingham scientists reveals that lower-income individuals are more likely to own cheaper, higher-emitting vehicles contributing disproportionately to local urban air pollution. Spending an additional £10,000 on a diesel vehicle is associated with a 40% reduction in nitrogen oxide emissions per litre.
Southwest Research Institute uses machine learning to automate calibration of heavy-duty diesel truck emissions control systems, cutting calibration time from weeks to hours. The new method improves system performance while ensuring compliance with upcoming standards.
Researchers developed a fractal-based speaker add-on that reduces sound disparities between drivers and passengers in cars. The metamaterial, inspired by the Koch snowflake fractal, creates broadband wavefront control for a more even sound field.
Researchers found that composite metal foam can withstand repeated heavy loads even at temperatures of 400 and 600 degrees Celsius. The material's high strength-to-weight ratio makes it suitable for applications such as aircraft wings, vehicle armor, and nuclear power technologies.
Researchers are developing a detection system to identify pre-ignitions in hydrogen internal combustion engines (H2-ICE) using machine learning algorithms and onboard sensors. The project aims to address the challenges associated with H2-ICE pre-ignition, which can degrade engine performance and compromise its mechanical integrity.
A Safe Systems Approach emphasizes that road users, designers, operators, policymakers, administrators, and healthcare professionals all have a role to play in reducing fatalities. By adopting this approach, countries can realize significant success in eliminating roadway deaths, but full commitment from stakeholders is necessary.
SwRI's award-winning NEXTCAR project successfully completed its 8-year-long connected and automated vehicle technology project. The completed SwRI NEXTCAR vehicle demonstrated up to 30% energy savings compared to traditional hybrid vehicles.
New research suggests that driving assistance systems can backfire by making drivers less attentive and increasing hazardous behaviors. The study analyzed data from over 195,000 vehicles and found that different types of warning signals trigger opposite effects on driving behavior.
SwRI has created a novel controller system to test fuel cell stacks under normal and extreme driving conditions, enhancing performance and efficiency. The project aims to develop predictive control models for humidity management, improving fuel cell performance and reliability.
Research from Chalmers University of Technology found that one type of electric vehicle's warning signal is hard for humans to locate at low speeds, even with background noise. The signal was designed for acoustical standards, but its detectability was tested in a real-world setting.
Researchers analyzed two years of data on electric buses in Ithaca, finding batteries consume 48% more energy in cold temperatures. Short-term strategies include storing buses indoors and limiting door opening time to improve performance.
Researchers at Pohang University of Science & Technology have developed Pixel-Based Local Sound OLED technology, allowing each pixel to emit different sounds. This breakthrough enables truly localized sound experiences in displays, enhancing realism and immersion.
Researchers at UCF used a combination of emerging technologies to evaluate the safety of concrete bridges. By combining infrared thermography, high-definition imaging and neural network analysis, they can quickly identify defects and prioritize repairs.
Researchers at POSTECH developed a nickel-based high-entropy alloy that maintains strength and ductility across a wide temperature range from -196°C to 600°C. This stability is attributed to the presence of nanoscale precipitates, which inhibit deformation and accommodate stress through consistent slip behavior.
Researchers at Kumamoto University have developed a new mathematical modeling technique for linear periodically time-varying systems, enhancing the accuracy of control system models. This breakthrough has profound implications for industries relying on complex control systems, such as autonomous vehicles and aerospace applications, imp...
The SwRI H2-ICE2 consortium aims to refine the performance and efficiency of hydrogen internal combustion engine vehicles. The two-year program will test the vehicle's capabilities under various real-world conditions, with a focus on commercial viability.
Researchers at Saarland University develop film-based vacuum pumps and valves that are lightweight, compact, and energy-efficient. These devices can create a vacuum of up to 300 millibars without the need for compressed air, motors, or lubricants.
The article explores the role of AI in engineering, highlighting benefits such as improved transportation and manufacturing, but also raises concerns about safety, privacy, bias, and governance. The authors discuss weaknesses in data-driven models and call for research into regulatory frameworks to address these issues.
Researchers at Incheon National University have developed a new AI-powered solution to improve high-speed users' connectivity in 5G and 6G networks. The method significantly reduces errors and improves data reliability by prioritizing key parameters such as angles and delays.
The TU Graz AI system optimises vehicle components using simulation models and evolutionary algorithms to reduce development time by several months. It considers multiple objectives including production costs, efficiency and package space requirements, as well as CO2 emissions across the entire supply chain.
Researchers are developing a software framework for crowd-sourced 3D map generation and visual localization from camera data to improve real-time updates and low-cost visual localization. This technology aims to advance self-driving vehicles and enable fully automated transportation
A University of Pittsburgh study uses life-cycle assessment to measure the environmental impact of ACL reconstruction and identify opportunities for reduction. The investigation highlights the significant carbon footprint of complex medical processes, emphasizing the need for sustainable innovations in healthcare.
A WVU researcher creates an augmented reality training program to enhance miners' awareness of blind spots and ability to identify hazards. The training technology uses visualizations to project blind spots directly onto the trainee operator's surroundings, reducing fatalities and injuries in the mining industry.
A new AI model developed at the University of Georgia predicts nearby traffic movements and incorporates innovative features for planning safe vehicle movements. This approach helps reduce crashes and near-misses by consolidating two steps: predicting surrounding traffic movements and planning a self-driving car's motion.
Researchers analyzed real-time data from over 50,000 public EV charging stations to understand demand and peak times. The study found high demand during working hours in California and identified potential inequities in access to EV charging facilities across diverse communities.
Researchers at University of California - San Francisco designed biological sensors that can ensure engineered cells are activated in tumor environments, making cancer therapies more effective. The new sensors, called SNIPRs, can bind to soluble molecules and alter gene expression, offering a promising approach for targeted therapies.
A research team led by Virginia Tech will test the geologic conditions at the Roanoke Cement Plant for storing 1.7 million metric tons of carbon dioxide each year for three decades. The project aims to prevent estimated 50 million metric tons of carbon emissions from entering the atmosphere.
Hoda Eldardiry receives $349,360 grant from NSF to develop practical competencies for students to apply ethical principles in AI system design. Her team aims to engage industry professionals to translate AI ethics into concrete decision-making.
Researchers at WVU have developed microwave technology to recover propylene from polypropylene waste, which can be reused in new plastics or products. The process uses precise control and lower temperatures than traditional methods, offering energy efficiency and reduced emissions.
A new, low-cost cathode material developed by Georgia Tech's Hailong Chen could transform the electric vehicle (EV) market and large-scale energy storage systems. The iron chloride (FeCl3) cathode costs a mere 1-2% of typical cathode materials and can store the same amount of electricity.
Researchers at the University of Michigan found that US auto plants producing battery electric vehicles have required a larger workforce than traditional internal combustion engine plants. The study revealed that assembly jobs increased by up to 10 times during the ramp-up stages of transitioning to full-scale EV production, with one p...
The book examines the influence of automobiles on ideas about the future, technology, entrepreneurship, risk, safety, showmanship, politics, sex, gender, business, and the state. Prof. Dimitry Anastakis's work addresses the intersection of business, the state, and politics in post-1945 Canada.
Researchers from the UMA developed an open-source platform called Open Twins to create more accessible and versatile digital twins. This platform enables the simulation of real-world assets based on virtual replicas, predicting future behaviors and detecting anomalies, leading to more efficient companies that make data-driven decisions.
Researchers at the University of Illinois have identified a novel pathway to stabilize nanoscale precipitates in alloys through nonequilibrium processes. By stopping precipitate coarsening, they can create stable nanostructures with improved mechanical properties.
Researchers have identified a novel pathway to stabilize nanoscale precipitates in alloys by utilizing nonequilibrium processes, stopping coarsening and resulting in stable nanostructures. This approach has potential applications in materials used for nuclear applications, batteries, and other industries.