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Designing structures such as dams, tunnels, and embankments to withstand transient loads from sources such as earthquakes, high-speed trains, and explosions requires robust dynamic soil-structure interaction (SSI) analysis. Traditional methods often fall short in handling complex boundary conditions and dynamic responses.

When electronic devices like laptops or smartphones overheat, they are fundamentally suffering from a nanoscale heat transfer problem. Pinpointing the source of that problem can be like trying to find a needle in a haystack.

Have you ever wondered how insects are able to go so far beyond their home and still find their way? The answer to this question is not only relevant to biology but also to making the AI for tiny, autonomous robots.

A team of Johns Hopkins researchers is reframing the discussion around autonomous vehicles. Though public trust in this technology has faltered due to high-profile testing accidents, researchers hope to rebuild public support for AVs by redirecting attention to their potential to improve social equity and help underserved communities.

Researchers have developed soft, stretchable 'jelly batteries' that could be used for wearable devices or soft robotics, or even implanted in the brain to deliver drugs or treat conditions such as epilepsy.

In an era when the creation of artificial intelligence (AI) images is at the fingertips of the masses, the ability to detect fake pictures—particularly deepfakes of people—is becoming increasingly important.

When everything shakes, precision is usually impossible—everybody who has ever tried to take a photo with shaky hands or make handwritten notes on a bumpy bus journey knows that. With technical precision measurements, even much smaller vibrations are a major problem, for example, with high-performance microscopes or precisely aligned telescope mirrors. Even the smallest vibrations, which are not even perceptible to humans, can render the measurement result unusable.

Accurate Global Navigation Satellite System (GNSS) positioning is essential for various applications, but traditional methods like Full Ambiguity Resolution (FAR) and Partial Ambiguity Resolution (PAR) have limitations in precision and speed. These techniques often require extended convergence times and can introduce errors due to noisy observations or biased models.

Neural networks have made a seismic impact on how engineers design controllers for robots, catalyzing more adaptive and efficient machines. Still, these brain-like machine-learning systems are a double-edged sword: Their complexity makes them powerful, but it also makes it difficult to guarantee that a robot powered by a neural network will safely accomplish its task.

A research team affiliated with UNIST has made a discovery in developing a novel technology that produces high-efficiency hydrogen using hematite (α-Fe2O3), a form of iron oxide (Fe2O3), which has been exposed to oxygen and water.

A major obstacle for net zero technologies in combating climate change is bridging the gap between fundamental research and its application in the real world.

When you think of a battery, you probably don't think of stretchy material. But batteries will need this shape-shifting quality to be incorporated into flexible electronics, which are gaining traction for wearable health monitors. Now, researchers in ACS Energy Letters report a lithium-ion battery with entirely stretchable components, including an electrolyte layer that can expand by 5,000%, and it retains its charge storage capacity after nearly 70 charge/discharge cycles.

If an individual solar cell is shaded and other cells in the same module are not, the sunlit cells can try to drive current through the shaded cell, resulting in an increase in temperature and potential damage to the cells. These conditions put the shadowed cell under a condition known as reverse bias, which makes solar cells unstable and deteriorates their performance over time.

The U.S. has contended with unrelenting temperatures this summer, and a map from NASA paints a dire picture of the scale of those persistent heat waves.

A novel machine learning framework developed by IIASA researchers to estimate global rooftop area growth from 2020 to 2050 can aid in planning sustainable energy systems, urban development, and climate change mitigation, and has potential for significant benefits in emerging economies.

A geotechnical engineering team led by Rick Chalaturnyk in the University of Alberta's Faculty of Engineering has teamed up with Alberta's first conventional geothermal power project to explore how to use carbon dioxide instead of water to pump heat up from deep below the Earth's surface.

Industrial emissions are one of the main sources of climate change-inducing carbon dioxide (CO2). While adopting renewable and clean energy alternatives is one option for mitigating these carbon emissions, carbon capture technology is another solution to control CO2 emissions.

A new reconstruction of 19th-century Britain's water resources has revealed how limited access to waterpower during the Industrial Revolution helped drive the adoption of steam engines in Greater Manchester's Cottonopolis.

Software is omnipresent in science, and yet it is overlooked everywhere. At a time when scientists (and many others) are talking about code, algorithms or artificial intelligence, software appears in the discourse as just another semantic subtlety. Many facets of software, such as questions about user licenses or file formats, are not part of the definition of code or algorithm.

A new rankings list from U.S. News & World Report​ aims to highlight the top ranked hospitals for different specialized care needs, from cancer to cardiology.