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Blog – Page 20

Landslide-generated tsunamis pose a serious risk to coastal communities, particularly within narrow fjords where tall cliffs can trap and amplify waves. Scientists rely heavily on earthquake-based observation systems to issue tsunami warnings, but these methods don’t always capture localized ground movement caused by landslides.

Now, for the first time, scientists have detected tsunami waves caused by a landslide using data from a ship’s satellite receiver. The CIRES and CU Boulder-led research, published in Geophysical Research Letters, shows the potential for an approach to improving tsunami detection and warning, providing lifesaving information to coastal communities.

“Landslides into water can produce a tsunami, and some of them can be quite large and destructive,” said CIRES Fellow Anne Sheehan, a professor of Geological Sciences at CU Boulder and co-author of the study. “Scientists have captured larger, earthquake-induced tsunamis using ship navigation systems. Our team had equipment in the right place at the right time to show this method also works for landslide-generated tsunamis.”

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Mindfulness-based therapy can offer significant relief for individuals who are still depressed after receiving treatment, according to a new clinical trial.

Researchers hope their findings, published in Lancet Psychiatry, could provide a new treatment pathway for people with who have not benefited from previous treatment.

The study, titled “Mindfulness-based cognitive therapy versus treatment as usual after non-remission with NHS Talking Therapies high-intensity psychological therapy for depression: a UK-based and cost-effectiveness randomised, controlled, superiority trial,” was led by a researcher from the University of Surrey.

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Have you ever been stuck on a problem, puzzling over something for what felt like ages without getting anywhere, but then suddenly the answer came to you like a bolt from the blue?

We’ve all experienced that “aha! moment,” that sudden clarity or magical epiphany you feel when a new idea or perspective pops into your head as if out of nowhere.

Now, new evidence from brain imaging research shows that these flashes of insight aren’t just satisfying—they actually reshape how your brain represents information, and help sear it into memory.

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Quantum entanglement—a connection between particles that produces correlations beyond what is classically possible—will be the backbone of future quantum technologies, including secure communication, cloud quantum computing, and distributed sensing. But entanglement is fragile; noise from the environment degrades entangled states over time, leaving scientists searching for methods to improve the fidelity of noisy entangled states.

Now, researchers at the University of Chicago Pritzker School of Molecular Engineering (UChicago PME), University of Illinois Urbana-Champaign, and Microsoft have shown that it is fundamentally impossible to design a single one-size-fits-all protocol to counteract that noise.

“In , we often hope for a protocol that works in all scenarios—a kind of cure-all,” said Asst. Prof. Tian Zhong, senior author of the new work published in Physical Review Letters. “This result shows that when it comes to purifying entanglement, that’s simply too good to be true.”

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To improve photonic and electronic circuitry used in semiconductor chips and fiber optic systems, researchers at the McKelvey School of Engineering at Washington University in St. Louis tinkered with the rules of physics that govern the movement of light over time and space. They have introduced a new way to manipulate light transmission, opening possibilities for advanced optical devices.

Their method causes a “mirror-flip of the system,” said Lan Yang, the Edwin H. & Florence G. Skinner Professor of electrical and and senior author of the research, now published in Science Advances.

Using parity-time (PT) symmetric photonic waveguides, they can manipulate the light waves to “reverse time” so the system behaves the same as before, Yang added.

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A study by Dartmouth researchers proposes a new theory about the origin of dark matter, the mysterious and invisible substance thought to give the universe its shape and structure. They say the hypothetical force shaping the universe sprang from particles that rapidly condensed, like steam into water.

The researchers report in Physical Review Letters that could have formed in the early life of the universe from the collision of high-energy massless particles that lost their zip and took on an incredible amount of mass immediately after pairing up, according to their mathematical models.

Hypothetical dark matter is believed to exist based on observed gravitational effects that cannot be explained by visible matter. Scientists estimate that 85% of the universe’s total mass is dark matter.

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A new study from the University of Portsmouth has outlined a possible way to improve how we distinguish between two closely spaced light sources, an issue that has long challenged classical imaging systems.

The approach, published in Physical Review Applied, uses principles from to estimate small separations between light-emitting objects, with potential future applications in fields like microscopy, astronomy, and remote sensing.

The research suggests that a relatively simple quantum set-up could be used to extract that is traditionally limited by the so-called Rayleigh criterion—a rule dating back over a century that defines the limits of classical resolution.

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A surprising effect was discovered through a collaborative study by researchers from TU Wien and institutions in Croatia, France, Poland, Singapore, Switzerland, and the US during the investigation of a special material: the atoms are arranged in a completely disordered manner but produce magnetic order.

The study is published in the journal Advanced Functional Materials.

Superconductivity is one of the central topics in modern materials science: certain materials can conduct electrical current without any resistance—at least below a certain temperature. However, how to produce materials that still exhibit this property at higher temperatures remains an unsolved problem.

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Researchers at National Taiwan University have developed a new type of spintronic device that mimics how synapses work in the brain—offering a path to more energy-efficient and accurate artificial intelligence systems.

In a study published in Advanced Science, the team introduced three novel memory designs, all controlled purely by electric current and without any need for an .

Among the devices, the one based on “tilted anisotropy” stood out. This optimized structure was able to achieve 11 stable memory states with highly consistent switching behavior.

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