Researchers have discovered a new type of magnetism in 2D materials that can help store data.
The team led by researchers from the University of Stuttgart experimentally demonstrated the previously unknown form of magnetism in atomically thin material layers.
Researchers revealed that the discovery is highly relevant for future magnetic data storage technologies and advances the fundamental understanding of magnetic interactions in two-dimensional systems.
Researchers have built a paper-thin chip that converts infrared light into visible light and directs it precisely, all without mechanical motion. The design overcomes a long-standing efficiency-versus-control problem in light-shaping materials. This opens the door to tiny, highly efficient light sources integrated directly onto chips.
Using advanced computer simulations, researchers from the University of Rhode Island’s Graduate School of Oceanography (GSO) have concluded how and why strong ocean currents modify surface waves. “Our primary finding is that hurricane-generated ocean currents can substantially reduce both the height and the dominant period of hurricane waves,” said Isaac Ginis, URI professor of oceanography. “The magnitude of wave reduction depends strongly on how accurately ocean currents are predicted. This highlights the importance of using fully coupled wave-ocean models when forecasting hurricane waves.”
Ginis conducted the research with URI Professor Tetsu Hara and Angelos Papandreou, who earned his Ph.D. in oceanography from URI in December 2025. Their results were published in a peer-reviewed article in the Journal of Physical Oceanography in January 2026.
According to Ginis, waves are most strongly reduced by currents on the front right of the storm, where winds, waves, and currents are typically strongest.
Gabriel Dechichi, a developer you might remember from his challenge of making an Unreal Engine game in 4 weeks, has demonstrated his ECS system in C, claiming it runs roughly 17 times faster than Unity’s DOTS.
According to Gabriel, the simulation runs 100,000 boids, rendering around 31 million triangles per frame. The average simulation time is about 2.4 ms in the C engine, compared to around 44.4 ms in Unity’s ECS. The test was conducted on an AMD Ryzen 7 5800H (8 cores, 16 threads) with an NVIDIA GeForce RTX 3,060 Laptop GPU and 32 GB of RAM, running in Chrome with force-high-performance-GPU enabled.
“Frame time difference is about 5 times, as the demo is GPU-bound. The ECS simulation runs at roughly 2.4ms on my C engine, vs roughly 44.4 ms for Unity ECS. Time is measured equally on both demos by sampling how long the ECS world takes to update,” shared the developer.
When scientists sequence tumor DNA, they typically find small amounts of genetic code from bacteria, viruses and fungi—microorganisms that—if actually present in tumor tissues—could influence how they grow, evade immunity or respond to treatment. But do microorganisms truly reside in tumors, or do the samples become contaminated before sequencing occurs?
Independent analyses of the same genomic data have reached wildly different conclusions. Now, researchers at Rutgers Cancer Institute have developed a computational tool that settles the controversy by distinguishing genuine microbial signals from artifacts. Their findings are published in Cancer Cell.
“There are microbes all over the environment, on our skin and in our breath,” said Subhajyoti De, a member of the Genomic Instability and Cancer Genetics Program at Rutgers Cancer Institute and the senior author of the study. “There could be DNA particles floating in the air. How do you know whether you’re finding came from the tissue you were interested in, or whether something was introduced along the way?”
This Review surveys progress in the development of carbon nanotubes as single-photon sources for emerging quantum technologies, with a focus on chemical synthesis and quantum defect engineering, computational studies of structure-property relationships, and experimental investigations of quantum optical properties.
Scientists have created a new type of material that could enable common electronic devices to work faster and use less energy, a study suggests. The findings indicate the material, which was until now thought near-impossible to make, can act as a highly effective semiconductor—a key component of modern electrical devices.
Using the new semiconductor in electronics such as computer processors or medical imaging devices could help them run more efficiently, the team says.
Time crystals, a collection of particles that “tick”—or move back and forth in repeating cycles—were first theorized and then discovered about a decade ago. While scientists have yet to create commercial or industrial applications for this intriguing form of matter, these crystals hold great promise for advancing quantum computing and data storage, among other uses.
Over the years, different types of time crystals have been observed or created, with their varying properties offering a range of potential uses.
While estimates of total pregnancy losses vary considerably, about 15% of known pregnancies end in miscarriage, and many other conceptions do not survive past the very early stages of pregnancy. The primary cause for these losses is chromosomal abnormalities, like extra or absent chromosomes. Scientists have now analyzed data collected from over 140,000 IVF embryos to identify genetic differences that can increasethe risk of pregnancy loss. This work showed that there are certain genetic variants in some women that increase the risk of miscarriage. These findings, which were reported in Nature, may help scientists develop new methods to reduce the risk of pregnancy loss.
“This work provides the clearest evidence to date of the molecular pathways through which variable risk of chromosomal errors arises in humans,” said senior study author Rajiv McCoy, a computational biologist at Johns Hopkins University. “These insights deepen our understanding of the earliest stages of human development and open the door for future advances in reproductive genetics and fertility care.”
