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כתבות אחרונות מאתר 'Phys'
Phys

Mechanical shortcut' rapidly carries organic particles into the deep ocean‎

The processes that capture carbon from the atmosphere and store it on the seabed are crucial for climate balance. However, assessing these mechanisms is often complicated because it requires measurements ranging from the surface to the deep ocean.

02:50
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Phys

Four labs find experimental differences can undermine AI catalyst predictions‎

To turn abundant carbon dioxide into valuable fuel, we need a fast and efficient way to determine which catalysts work best over the longest time. AI models have the potential to help guide catalyst selection, but as with internet chatbots, AI models are only as good as the data you put into them.

02:23
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Phys

Forest floors reveal overlooked seed dispersers: Slugs, beetles and crabs spread viable seeds‎

A review led by the School of Biological Sciences at The University of Hong Kong (HKU) has revealed that tiny ground-dwelling invertebrates are overlooked but important seed dispersers, challenging the traditional focus on birds and mammals and offering new insights into forest regeneration and biodiversity conservation.

02:10
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Phys

Bringing it all into focus—computational microscope captures 25.2 billion pixels per second across a wide field of view‎

When designing microscopes, optical engineers have long faced a trade-off between speed, field of view and resolution. But improving one of these properties typically comes at the expense of another. Now, a UC Berkeley–led team of researchers has found a way to address this challenge, opening the door to new possibilities in the field of microscopy.

01:48
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Phys

Discarded rice husks capture toxic dyes, offering a reusable water filter‎

Rice is the most-eaten food on the planet, and its discarded outer husk results in some 300 billion pounds of waste per year. FIU chemistry researcher Islam Ibrahim Hussein says the inedible castoffs could be the key to cleaner water.

01:23
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Phys

AI models atom movement to predict solid-state reaction pathways, including impurities, in minutes‎

A research team at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has successfully demonstrated an AI modeling approach that accurately and rapidly predicts how reactions between solid materials unfold over time. It is the first predictive model that accounts for how atoms travel through materials during solid-state reactions. Importantly, its predictions provide practical insights into the best recipes for making advanced materials.

01:03
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Phys

Smart bioink shields delicate neural cells during precision 3D printing‎

3D bioprinting allows scientists to build custom tissue structures for medicine, but printing soft tissues like the human brain remains a major challenge. The strong pushing forces required to squeeze biological materials through tiny printer nozzles often crush and damage sensitive cells, leading to low survival rates and weak printed structures.

01:03
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Phys

Underground fungal networks come into 3D view without disturbing plant roots‎

Symbioses between plants and fungi are essential for most plants. Fungal structures known as mycorrhizae extend the area from which plants can draw water and nutrients from the soil. In return, plants supply the fungi with carbohydrates produced through photosynthesis. Although the importance of this symbiosis has been known for decades, researchers have not previously been able to study the underground network in its natural structure.

00:43
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Phys

Rubin Observatory opens a deep window on a famous cosmic field‎

A new Vera C. Rubin Observatory image featuring hundreds of thousands of distant galaxies in and around the COSMOS field marks the observatory's first LSST Camera image and catalog release for science.

00:43
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Phys

Pollen movement tracked from ground to sky with new modeling method‎

Plant biologists and engineers have extended their studies to the skies to track airborne pollen once it leaves a crop. In a new study, published in Environmental Monitoring and Assessment, researchers established an accurate methodology for tracking, measuring and forecasting pollen dispersal of genetically engineered switchgrass at both ground and atmospheric levels.

00:21
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