Tech & AI

Researchers have developed a method to break down technical lignins—stubborn byproducts from paper and biofuel production—into cleaner, more usable components. The technique could help manufacturers convert billions of tons of annual lignin waste into valuable chemicals and materials, reducing disposal costs and creating new revenue streams.EN

Researchers have found that ultrasonic measurements can predict how ore will behave during crushing—without damaging samples. The discovery could help mining companies optimize processing before they invest in expensive equipment, potentially saving millions in capital and operational costs.EN

Researchers have developed a faster way to simulate how antennas respond to electromagnetic pulses, potentially cutting design time for wireless communications systems. The circuit-based approach offers manufacturers a practical alternative to expensive computer simulations, making it easier to test antenna performance before building prototypes.EN

Researchers have engineered a graphene-enhanced membrane that dramatically improves both energy storage and power generation. The advance could extend electric vehicle battery life by years while enabling devices to generate electricity from vibration—opening new markets in self-powered wearables and IoT sensors.EN

Researchers have created a high-fidelity digital simulation that mimics autonomous off-road vehicles in real time, cutting the cost and timeline of vehicle development. The system can generate training data for AI vision systems and test control algorithms before physical prototypes are built—potentially accelerating autonomous vehicle deployment by years.EN

Researchers have reviewed the latest methods for catching malicious Android apps before they run, combining code analysis with AI to spot threats faster and more accurately. As mobile threats surge, these lightweight detection tools could help companies and security firms protect millions of devices without slowing them down.EN

Researchers mapped how surface damage accumulates during hot rolling and directly impacts a steel's ability to bend in subsequent manufacturing. The findings could help steelmakers optimize production timing and reduce costly defects, improving yields for auto and construction companies reliant on high-performance steel.EN

Researchers discovered that as water levels rise at dam spillways, flow becomes increasingly unbalanced across outlets—a finding that could improve how engineers design critical water infrastructure worldwide. The discovery, validated through precise measurement techniques, provides engineers with data needed to prevent operational failures and optimize spillway performance.EN

Researchers developed a working blueprint for converting abandoned coal mines into giant batteries that store compressed air and feed power back to the grid. The approach could unlock vast untapped capacity for renewable energy storage without building new infrastructure—a critical gap as utilities race to balance wind and solar.EN

Researchers used advanced microscopy to film calcium carbonate breaking down during heating, revealing how temperature and heating speed reshape the material's structure. The findings could help cement makers, steel producers, and other heavy industries cut energy costs and emissions by redesigning calcination processes—a reaction responsible for roughly 5% of global CO2 emissions.EN

A new analysis of 392 research papers reveals that tiny machine learning—which runs AI algorithms on low-power edge devices—has become a major field with exponential growth since 2020. The findings identify emerging priorities like federated learning and ethical frameworks that will shape how companies and governments deploy AI in energy-constrained environments from IoT sensors to remote infrastructure.EN

Researchers have developed a framework to accurately measure how EV chargers inject electrical disturbances into low-voltage networks. The advance helps utilities and grid operators anticipate power quality problems before widespread EV adoption creates costly infrastructure failures or service outages.EN

Researchers have solved a major challenge in controlling continuum robots—flexible machines shaped like tentacles that can bend, extend, and retract independently. The breakthrough uses a new optimization method that lets these robots find their way through obstacles while tracking precise paths, opening commercial applications in surgery, inspection, and rescue operations.EN

Researchers have developed an NMR method to map molecular interactions at bitumen-mineral interfaces, potentially improving road construction and soil stabilization formulations. The advance could help manufacturers optimize cold-mix asphalt and dust-binding products by understanding exactly how these materials bond at the molecular level.EN

Researchers have identified more accurate ways to model how heat moves through iron ore pellets during industrial heating—a critical step for redesigning steel furnaces to run without fossil fuels. The findings could help manufacturers optimize furnace design and energy efficiency as the industry shifts toward sustainable ironmaking.EN

Grinding maintenance on railway tracks creates surface roughness that dramatically accelerates wear and fatigue damage, reducing rail longevity. The research suggests operators could extend asset life and cut maintenance costs by optimizing grinding practices and building surface texture into predictive maintenance models.EN

Researchers have developed a cleaner way to recover valuable materials from spent lithium-ion batteries by using magnetic fields instead of harsh chemicals. The approach could make battery recycling cheaper and more environmentally friendly as demand for recycled battery materials surges globally.EN

Researchers have refined a method to quickly identify the most cost-effective ionic liquids for removing CO2 from natural gas and biogas—a critical step for upgrading these fuels. The improved screening tool accounts for real operating conditions, potentially cutting years off the process of finding better, cheaper absorbents for gas producers.EN

Shellac, a natural resin from lac insects, performs as well as conventional adhesives for woodworking when properly heat-treated, researchers report. The finding could reshape the $10 billion adhesives market and offer furniture and construction companies a biodegradable alternative that meets existing safety standards.EN

Researchers have mapped the chemical complexities of mixed municipal waste for the first time, revealing how different waste streams interact during conversion to liquid fuel. The finding could help waste management companies and energy producers build more predictable, efficient facilities—potentially turning a disposal liability into a revenue stream.EN

Automated route-planning software outperforms manual operators by 15-19% when organizing mechanized tree planting across challenging Scandinavian terrain. As labor shortages squeeze forestry operations, these findings suggest that AI-driven planning could cut costs and expand replanting capacity without requiring more workers or equipment.EN

Researchers discovered that a widely used chemical model for converting biomass into fuel has violated basic physics for decades, miscalculating how much tar escapes during heating. The fix, now implemented in new software, could improve efficiency predictions for industrial biofuel production and help energy companies optimize their conversion processes.EN

Researchers have cracked a long-standing problem in predicting how rough surfaces wear when pressed together under stress. The breakthrough could help manufacturers design longer-lasting bearings, seals, and machinery—reducing costly failures and downtime across industries from automotive to aerospace.EN

Researchers have developed a decision-support tool that helps airlines determine when to inspect, repair, or replace aging aircraft components more efficiently. The model accounts for hidden equipment failures and imperfect repairs, potentially reducing both maintenance downtime and costs for operators managing large fleets.EN

Researchers have developed an artificial intelligence system that monitors railway tracks in real-time, catching problems weeks or months before they become dangerous or expensive. The system achieved 98% accuracy while reducing data processing needs by nearly half, potentially saving rail operators millions in emergency repairs and service disruptions.EN